65016196154600Pitch Angle Design with Tunning Bat Algorithm (BA) on Wind Turbine Using PID Controller(Desain Pitch Angle dengan Tunning Bat Algorithm (BA) pada Wind Turbine Menggunakan PID Controller)Rukslin1, Machrus Ali21,2 Electrical Engineering Dept, Universitas Darul Ulum, Jombang, Indonesia rukslin05@gmail.com machrus7@gmail.com Abstract-,Increased national economic growth has an impact on increasing electricity consumption in Indonesia every year. If the supply of electricity is not fulfilled and is not in line with the huge needs of the community, it will become a problem. The state must meet the demands for continuous and quality electrical energy needs. In general, coal is a primary energy source that is used as the basic material for power plants operating in Indonesia, coal is a fossil energy source that cannot be renewed and will someday experience a reduction, therefore alternative energy sources for power generation need to be considered. Alternative energy sources such as solar energy, bio gas energy, water flow energy, wind energy. Wind is a renewable natural resource, using the principle of energy conversion, namely by converting wind energy into electrical energy. Artificial Intelligent (AI)-based intelligent control has developed a lot to improve conventional controls to control so that the output voltage is always rated constant at varying loads. From the trials conducted, the results of the running program showed that the tunning system using the BA method obtained the most optimal and stable torque value of 1.04 - 4.75 Nm A_Peak when compared to the standard PID and PID_ZN methods.Keywords: Components; Bat Algorithm (BA); Pitch Angles; Wind Turbine.Abstract-,Peningkatan pertumbuhan ekonomi nasional berdampak pada meningkatnya konsumsi listrik di Indonesia setiap tahunnya. Bila dalam penyediaan listrik kurang terpenuhi dan tidak sejalan dengan kebutuhan masyarakat yang begitu besar maka akan menjadi masalah. Negara harus memenuhi tuntutan kebutuhan energi listrik yang terus-menerus dan berkualitas. Secara umum batu bara merupakan sumber energy primer yang digunakan sebagai bahan dasar pembangkit listrik yang beroperasi di Indonesia, batu bara merupakan sember energi fosil yang tidak bisa di perbaharui dan suatu saat akan mengalami pengurangan, maka dari itu sember energi alternatif untuk pembangkit listrik perlu dipikirkan. Sumber energi alternatif misalnya energi matahari, energi bio gas, energi aliran Air, energi angin. Angin merupakan sumber daya alam yang dapat diperbaharui, dengan menggunakan prinsip konversi energi yaitu dengan mengkonversi energi angin menjadi energi listrik. Kendali cerdas berbasis Artificial Intelligent (AI) banyak berkembang untuk memperbaiki kendali konvensional untuk mengontrol agar tegangan keluaran selalu berada dinilai konstan pada beban yang berubah-rubah. Dari uji coba yang dilakukan hasil running program bahwa sistem tunning menggunakan metode BA didapatkan nilai torsi yang paling optimal dan stabil yaitu sebesar 1.04 – 4.75 Nm A_Peak jika dibandingkan dengan metode PID standar dan PID_ZN.Kata Kunci : Komponen; Algoritma Kelelawar (BA); Sudut Pitch; Angin Turbin.PENDAHULUANPeningkatan pertumbuhan ekonomi nasional sangat berpengaruh pada meningkatnya konsumsi listrik di Indonesia di setiap tahunnya. Energi bayu, merupakan sumber energi yang ada di alam dapat digunakan sebagai salah satu sumber energi pembangkit listrik. Sumber energi yang berasal dari bayu tidak akan habis, sehingga pemanfaatannya akan berdampak yang baik terhadap masyarakat dan lingkungan sekitarnya.Yang harus dilakukan dan menjadi perhatian adalah mendorong para akademisi dan para praktisi untuk mengkaji sumber energi angin, tenaga panas bumi, cahaya matahari, atau energi lainnya. Keuntungan pada Pembangkit Listrik tenaga bayu yaitu sifat bahan bakunya tidak mudah habis hal ini jika di gunakan secara terus menerus maka tidak akan membuat sumber energi bayu menjadi berkurang.Agar menghasilkan energi listrik maka wind turbine harus di kopel dengan generator sinkron yang mempunyai magnet permanen. Kecepatan angin, pitch angle akan memepngaruhi hasil kinerja pada wind turbine, dan akan memyebabkan kurang daya listrik ADDIN CSL_CITATION { "citationItems" : [ { "id" : "ITEM-1", "itemData" : { "DOI" : "10.1109/ISEMANTIC.2016.7873802", "ISBN" : "9781509023264", "author" : [ { "dropping-particle" : "", "family" : "Rukslin", "given" : "", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" }, { "dropping-particle" : "", "family" : "Haddin", "given" : "Muhamad", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" }, { "dropping-particle" : "", "family" : "Suprajitno", "given" : "Agus", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" } ], "container-title" : "Proceedings - 2016 International Seminar on Application of Technology for Information and Communication, ISEMANTIC 2016", "id" : "ITEM-1", "issued" : { "date-parts" : [ [ "2017" ] ] }, "page" : "13-17", "title" : "Pitch angle controller design on the wind turbine with permanent magnet synchronous generator (PMSG) base on firefly algorithms (FA)", "type" : "paper-conference" }, "uris" : [ "http://www.mendeley.com/documents/?uuid=37dab53f-5fe5-439c-b9f0-4b49b0f4d299" ] } ], "mendeley" : { "formattedCitation" : "[1]", "plainTextFormattedCitation" : "[1]", "previouslyFormattedCitation" : "[1]" }, "properties" : { }, "schema" : "https://github.com/citation-style-language/schema/raw/master/csl-citation.json" }[1]. Maka , wind turbine diperlukan alat kontroler supaya menghasilkan daya listrik yang optimal ADDIN CSL_CITATION { "citationItems" : [ { "id" : "ITEM-1", "itemData" : { "DOI" : "10.3390/en5093425", "ISBN" : "10.3390/en5093425", "ISSN" : "19961073", "abstract" : "A detailed review of the current state-of-art for wind turbine blade design is presented, including theoretical maximum efficiency, propulsion, practical efficiency, HAWT blade design, and blade loads. The review provides a complete picture of wind turbine blade design and shows the dominance of modern turbines almost exclusive use of horizontal axis rotors. The aerodynamic design principles for a modern wind turbine blade are detailed, including blade plan shape/quantity, aerofoil selection and optimal attack angles. A detailed review of design loads on wind turbine blades is offered, describing aerodynamic, gravitational, centrifugal, gyroscopic and operational conditions.", "author" : [ { "dropping-particle" : "", "family" : "Schubel", "given" : "Peter J.", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" }, { "dropping-particle" : "", "family" : "Crossley", "given" : "Richard J.", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" } ], "container-title" : "Energies", "id" : "ITEM-1", "issue" : "9", "issued" : { "date-parts" : [ [ "2012" ] ] }, "page" : "3425-3449", "title" : "Wind turbine blade design", "type" : "article", "volume" : "5" }, "uris" : [ "http://www.mendeley.com/documents/?uuid=2e6ed363-bcc3-4f42-bb13-7dbbdf0a7066" ] } ], "mendeley" : { "formattedCitation" : "[2]", "plainTextFormattedCitation" : "[2]", "previouslyFormattedCitation" : "[2]" }, "properties" : { }, "schema" : "https://github.com/citation-style-language/schema/raw/master/csl-citation.json" }[2]ADDIN CSL_CITATION { "citationItems" : [ { "id" : "ITEM-1", "itemData" : { "abstract" : "The power of the generating system is strongly influenced by frequency changes. The wind generating system is strongly influenced by the magnitude and speed of the agin as input power. The wind-diesel combined generating system is required to obtain optimum power quality. The hybrid swarm system is a controlled network of some renewable energy generation such as: wind turbine, solar cell, micro hydro and so on. Not optimal setting gain and small constant time on Load Frequency Control (LFC), causing its ability to be weak (weak line). In practice, wind-diesel systems are controlled with PID controller. Setting the gain value of the PID is still in the conventional method, making it difficult to get the optimal value. In this research applied control design by using Intelligent Method in finding the optimum value of Proportional Intergral Derivative (PID) to adjust load frequency with Matlab / Simulink program. This research uses Ant Colony Optimization (ACO) and Modification Firefly Algorithm (MFA). For comparison methods are used without control method, conventional PID method and matlab auto tuning method. Wind-diesel modeling uses the transfer function of diagram of wind turbine and diesel. The study compared several uncontrolled methods and conventional PID, ACO, with FA and MFA. The results show that the smallest undershoot is PID-MFA Controller of -1.529.10-4 and the fastest settling time on the PID-ACO controller 11.5 seconds", "author" : [ { "dropping-particle" : "", "family" : "Arrohman", "given" : "Muhammad", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" }, { "dropping-particle" : "", "family" : "Fajardika", "given" : "Risky", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" }, { "dropping-particle" : "", "family" : "Muhlasin", "given" : "", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" }, { "dropping-particle" : "", "family" : "Ali", "given" : "Machrus", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" } ], "container-title" : "SAINTEK II-2017, UB, Malang", "id" : "ITEM-1", "issued" : { "date-parts" : [ [ "2017" ] ] }, "page" : "124-127", "title" : "Optimasi Frekuensi Kontrol pada Sistem Hybrid Wind-Diesel Menggunakan PID Kontroler Berbasis ACO dan MFA", "type" : "paper-conference" }, "uris" : [ "http://www.mendeley.com/documents/?uuid=a021299b-080d-4790-9006-528c1e893bc0" ] } ], "mendeley" : { "formattedCitation" : "[3]", "plainTextFormattedCitation" : "[3]", "previouslyFormattedCitation" : "[3]" }, "properties" : { }, "schema" : "https://github.com/citation-style-language/schema/raw/master/csl-citation.json" }[3]Pada paper ini dibahas tentang penggunaan metode kecerdasan buatan yaitu Bat Algorithm untuk mengendalikan turbine agar dapat mendapatkan nilai daya output pada PMSG yang optimalADDIN CSL_CITATION { "citationItems" : [ { "id" : "ITEM-1", "itemData" : { "abstract" : "Abstrak Tulisan ini membandingkan dua macam metode tuning parameter Proporsional Integrator Diferensial (PID) kontroler untuk mengatur kecepatan turbin angin dengan pitch angel control. Yang pertama adalah desain kontroler dengan metode Ziegler-Nichols, kedu aadalah desain kontroler dengan metode Imperialist Competitive Algorithm (ICA). PID controller merupakan sebuah alat untuk mengontrol sebuah sistem, PID controller ini digunakan untuk mengontrol Permanent Magnet Synchronous Generator (PMSG). Pitch variable-speed wind turbine telah berkembang pesat dalam beberapa tahun terakhir. Ada dua strategi control untuk mengontrol variable kecepatan pada wind turbine. Saat kecepatan angin rendah di bawah nilai rata-rata, pengatur kecepatan harus dapat mengatur kecepatan rotor secara terus-menerus untuk mempertahankan kecepatan pada sebuah level, yang memberikan koefisien daya maksimum, sehingga efisiensi turbin akan meningkat. Pengaturan pitch angle diperlukan dalam kondisi kecepatan angin diatas yang diinginkan. Perubahan kecil pada pitch angle dapat mempengaruhi output daya. Pitch angle control adalah salah satu cara untuk menyesuaikan torsi aerodinamik pada tubin angin saat kecepatan angin berada diatas nilai kecepatan dan beberapa variable control lainnya, seperti kecepatan angin, kecepatan generator, dan daya generator. Hasil penelitian menunjukkan bahwa menggunakan PID controller yang ditunning dengan ICA lebih stabil dan daya output lebih optimal. Metode yang diusulkan dapat diterapkan pada sistem yang lebih tinggi. Keyword \u2013 turbin angin, pitch angle control, PID, ICA I. PENDAHULUAN Seiring dengan kemajuan teknologi dan peningkatan jumlah penduduk maka kebutuhan akan energy listrik juga akan meningkat. Akibatnya beban listrik akan meningkat juga. Dengan adanya penngkatan beban listrik maka pasokan listrik ke konsumen juga dipengaruhi. Akibatnya apabila pasokan listrik bertambah maka daya output yang dikeluarkan oleh generator juga akan bertambah. Permanent Magnet Synchronous Generator (PMSG) merupakan generator sinkron yang mempunyai magnet permanen. PMSG ini akan dikopel dengan turbine angin agar menghasilkan energi listrik, sehingga dengan adanya PMSG dapat mengurangi biaya pengeluaran yang mahal. PMSG mempunyai efisiensi yang kurang optimal untuk menghasilkan daya listrik. Hal ini dipengaruhi oleh kecepatan angin, pitch angle dan lain-lain. Oleh karena itu, PMSG perlu dikontrol untuk menghasilkan daya listrik yang optimal. Dalam mengontrol PMSG terda\u2026", "author" : [ { "dropping-particle" : "", "family" : "Ali", "given" : "Machrus;", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" }, { "dropping-particle" : "", "family" : "Robandi", "given" : "Imam;", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" } ], "container-title" : "Prosiding SENTIA 2015 \u2013 Politeknik Negeri Malang", "id" : "ITEM-1", "issue" : "1", "issued" : { "date-parts" : [ [ "2015" ] ] }, "page" : "2085-2347", "title" : "Desain Pitch Angle Controller Turbin Angin Dengan Permanent Magnetic Synchronous Generator (PMSG) Menggunakan Imperialist Competitive Algorithm (ICA)", "type" : "article-journal", "volume" : "7" }, "uris" : [ "http://www.mendeley.com/documents/?uuid=ab6535dc-d80f-4ca3-8d16-f8a39358b1eb" ] } ], "mendeley" : { "formattedCitation" : "[4]", "plainTextFormattedCitation" : "[4]", "previouslyFormattedCitation" : "[4]" }, "properties" : { }, "schema" : "https://github.com/citation-style-language/schema/raw/master/csl-citation.json" }[4]ADDIN CSL_CITATION { "citationItems" : [ { "id" : "ITEM-1", "itemData" : { "abstract" : "Abstrak Tulisan ini membandingkan dua macam metode tuning parameter Proporsional Integrator Diferensial (PID) kontroler untuk mengatur kecepatan turbin angin dengan pitch angel control. Yang pertama adalah desain kontroler dengan metode Ziegler-Nichols, kedu aadalah desain kontroler dengan metode Imperialist Competitive Algorithm (ICA). PID controller merupakan sebuah alat untuk mengontrol sebuah sistem, PID controller ini digunakan untuk mengontrol Permanent Magnet Synchronous Generator (PMSG). Pitch variable-speed wind turbine telah berkembang pesat dalam beberapa tahun terakhir. Ada dua strategi control untuk mengontrol variable kecepatan pada wind turbine. Saat kecepatan angin rendah di bawah nilai rata-rata, pengatur kecepatan harus dapat mengatur kecepatan rotor secara terus-menerus untuk mempertahankan kecepatan pada sebuah level, yang memberikan koefisien daya maksimum, sehingga efisiensi turbin akan meningkat. Pengaturan pitch angle diperlukan dalam kondisi kecepatan angin diatas yang diinginkan. Perubahan kecil pada pitch angle dapat mempengaruhi output daya. Pitch angle control adalah salah satu cara untuk menyesuaikan torsi aerodinamik pada tubin angin saat kecepatan angin berada diatas nilai kecepatan dan beberapa variable control lainnya, seperti kecepatan angin, kecepatan generator, dan daya generator. Hasil penelitian menunjukkan bahwa menggunakan PID controller yang ditunning dengan ICA lebih stabil dan daya output lebih optimal. Metode yang diusulkan dapat diterapkan pada sistem yang lebih tinggi. Keyword \u2013 turbin angin, pitch angle control, PID, ICA I. PENDAHULUAN Seiring dengan kemajuan teknologi dan peningkatan jumlah penduduk maka kebutuhan akan energy listrik juga akan meningkat. Akibatnya beban listrik akan meningkat juga. Dengan adanya penngkatan beban listrik maka pasokan listrik ke konsumen juga dipengaruhi. Akibatnya apabila pasokan listrik bertambah maka daya output yang dikeluarkan oleh generator juga akan bertambah. Permanent Magnet Synchronous Generator (PMSG) merupakan generator sinkron yang mempunyai magnet permanen. PMSG ini akan dikopel dengan turbine angin agar menghasilkan energi listrik, sehingga dengan adanya PMSG dapat mengurangi biaya pengeluaran yang mahal. PMSG mempunyai efisiensi yang kurang optimal untuk menghasilkan daya listrik. Hal ini dipengaruhi oleh kecepatan angin, pitch angle dan lain-lain. Oleh karena itu, PMSG perlu dikontrol untuk menghasilkan daya listrik yang optimal. Dalam mengontrol PMSG terda\u2026", "author" : [ { "dropping-particle" : "", "family" : "Ali", "given" : "Machrus;", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" }, { "dropping-particle" : "", "family" : "Robandi", "given" : "Imam;", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" } ], "container-title" : "Prosiding SENTIA 2015 \u2013 Politeknik Negeri Malang", "id" : "ITEM-1", "issue" : "1", "issued" : { "date-parts" : [ [ "2015" ] ] }, "page" : "2085-2347", "title" : "Desain Pitch Angle Controller Turbin Angin Dengan Permanent Magnetic Synchronous Generator (PMSG) Menggunakan Imperialist Competitive Algorithm (ICA)", "type" : "article-journal", "volume" : "7" }, "uris" : [ "http://www.mendeley.com/documents/?uuid=ab6535dc-d80f-4ca3-8d16-f8a39358b1eb" ] } ], "mendeley" : { "formattedCitation" : "[4]", "plainTextFormattedCitation" : "[4]", "previouslyFormattedCitation" : "[4]" }, "properties" : { }, "schema" : "https://github.com/citation-style-language/schema/raw/master/csl-citation.json" }[4]ADDIN CSL_CITATION { "citationItems" : [ { "id" : "ITEM-1", "itemData" : { "abstract" : "Proporsional Integrator Diferensial (PID) controller digunakan untuk mengontrol Permanent Magnet Synchronous Generator(PMSG). Turbin angin berkecepatan variabel Pitch telah berkembang pesat dalam beberapa tahun terakhir. Saat kecepatan angin rendah di bawah nilai rata-rata, pengatur kecepatan harus dapat mengatur kecepatan rotor untuk mempertahankan kecepatan pada tingkat. Sehingga dapat memberikan koefisien daya maksimum, efisiensi turbin akan meningkat. Kontrol sudut lapangan adalah salah satu cara untuk menyesuaikan torsi aerodinamik pada turbin angin. Pengaturan pitch angle diperlukan dalam kecepatan angin diatas batas yang diinginkan. Perubahan kecil pada pitch sudut dapat mempengaruhi output daya. Penggunaan kecerdasan buatan sering digunakan untuk optimasi tenaga listrik, kontrol sistem optimasi, juga optimasi lainnya. Diantara kecerdasan buatan itu adalah Firefly Algorithm (FA) dan Ant Colony Optimization (ACO). Penelitian ini membandingkan beberapa metode, yaitu tanpa kontrol, Kontrol PID, PID-FA, dan PID-ACO. Hasil penelitian menunjukkan bahwa; rata-rata daya aktif paling rendah dan tidak stabil pada model tanpa kontrol = 0,3305 Watt dengan 10 / ms, dan yang paling besar adalah model PID-ACO dengan daya aktif = 2,624 Watt dengan jumlah sebesar 180 / ms. Model PID-ACO adalah model terbaik pada penelitian ini dan dapat diusulkan dapat diterapkan pada sistem yang lebih tinggi.", "author" : [ { "dropping-particle" : "", "family" : "Krisdianto;", "given" : "Wiky", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" }, { "dropping-particle" : "", "family" : "Miftachul", "given" : "Jannah Firdaus;", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" }, { "dropping-particle" : "", "family" : "Dwi, Ajiatmo; Hidayatul", "given" : "Nurohmah;", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" }, { "dropping-particle" : "", "family" : "Machrus", "given" : "Ali;", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" } ], "container-title" : "SinarFe7", "id" : "ITEM-1", "issue" : "1", "issued" : { "date-parts" : [ [ "2018" ] ] }, "page" : "128-133", "title" : "Pengontrol PID Optimasi pada Wind-Turbine Berbasis Ant Colony Optimization dan Firefly Algorithm", "type" : "article-journal", "volume" : "1" }, "uris" : [ "http://www.mendeley.com/documents/?uuid=f359549e-68a6-4c17-a2a8-9d90ab0b2daf", "http://www.mendeley.com/documents/?uuid=cfb25abb-bd1e-4843-b1bc-8860af7ee901" ] } ], "mendeley" : { "formattedCitation" : "[5]", "plainTextFormattedCitation" : "[5]", "previouslyFormattedCitation" : "[5]" }, "properties" : { }, "schema" : "https://github.com/citation-style-language/schema/raw/master/csl-citation.json" }[5]. Paper ini terdiri dari pendahuluan, Model Wind Turbine, Bat Algorithm, Permanent Magnet Synchronous Generator (PMSG). LITERATUR REVIEWEnergi AnginUntuk menghitung energi kinetik yang diakibatkan oleh gerakan angin di rumuskanE = 0,5mv2 (1)dengan E: Energi (joule)v: kecepatan angin (m/detik)m : massa udara (kg)Jika penampang didenisikan A (m2) yang dimiliki oleh suatu blok udara dan melaju pada kecepatan v m/detikADDIN CSL_CITATION { "citationItems" : [ { "id" : "ITEM-1", "itemData" : { "abstract" : "Adanya krisis energy listrik di Kota Gorontalo semakin menggangu aktivitas di berbagai sektor. Sebagai wilayah pusat pemerintah dan perekonomian, maka seharusnya Kota Gorontalo memiliki energy listrik yang stabil sehingga dapat memperlancar roda kegiatan pemerintahan dan ekonomi. Saat ini sumber energy listrik yang digunakan oleh PLN masih menggunakan energy konvensional atau energy bersumber bahan bakar fosil. Sementara jumlah energy ini semakin langka dan harganya pun semakin mahal. Akibatnya aktivitas masyarakat dan industri, termasuk dunia pendidikan, pemerintahan dan bidang usaha lainnya yang bergantung pada penggunaan energi listrik menjadi terganggu. Oleh karena itu dalam penelitian ini telah dilakukan analisis potensis energi angin sebagai energi alternatif untuk membangkitkan energi listrik. Penelitian ini diharapkan menjadi informasi awal tentang potensis energi angin yang memungkingkan untuk dimanfaatkan dalam mengurangi krisis energi listrik. Metode yang telah digunakan adalah metode survey dengan melakukan pengukuran langsung kecepatan angin dan arah angin yang menggunakan AWS. Pengukuran dilakukan selama 3 (tiga) bulan yaitu bulan Juni, Juli, dan Agustus sepanjang 24 jam sehingga didapat variabilitas kecepatan angin. Data yang diperoleh di lapangan dianalisis dengan menggunakan metode analitik untuk menghitung besar energy kinetic, potensi energy angin dan konversinya ke energy listrik. Dari hasil pengukuran dan analisis analitik diperoleh bahwa Kota Gorontalo memiliki kecepatan angin berkisar 2,75-5 m/det, dan kecepatan angin terbesar pada Bulan Agustus yaitu 5 m/det dengan arah angin Timur Laut,Ttimur-Timur Laut dan Timur Tenggara. Pada siang hari yaitu mulai pukul 11.00 AM, 12.00-06.00 PM kecepatan angin lebih besar dibandingkan pada malam hari. Jadi terdapat 8 jam potensi kecepatan angin yang cukup tinggi. Dari hasil analitik menunjukkan bahwa potensi energy angin di Kota Gorontalo berkisar 512,27-2954,59, dan konversi energy listrik berkisar 3,23-18,61 watt/m . Potensi energy angin di Kota Gorontalo ini termasuk dalam kelompok potensi sedang yang berarti tetap dapat dimanfaatkan dengan menggunakan teknologi desain kincir seperti listrik hybrid (diesel-angin). 2", "author" : [ { "dropping-particle" : "", "family" : "Yunginger", "given" : "Raghel", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" }, { "dropping-particle" : "", "family" : "Nawir", "given" : "N.Sune", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" } ], "container-title" : "Universitas Negeri Gorontalo", "id" : "ITEM-1", "issued" : { "date-parts" : [ [ "2015" ] ] }, "page" : "1-15", "title" : "Analisis Energi Angin Sebagai Energi Alternatif Pembangkit Listrik Di Kota Di Gorontalo", "type" : "article-journal", "volume" : "15" }, "uris" : [ "http://www.mendeley.com/documents/?uuid=fadc5e9d-05cd-416c-bd50-66dfac855f66", "http://www.mendeley.com/documents/?uuid=c2ef0172-1d56-4ba6-8f3f-3b89c62c3d09", "http://www.mendeley.com/documents/?uuid=27f2df49-f855-40cb-b665-5d459af63c92" ] } ], "mendeley" : { "formattedCitation" : "[6]", "plainTextFormattedCitation" : "[6]", "previouslyFormattedCitation" : "[6]" }, "properties" : { }, "schema" : "https://github.com/citation-style-language/schema/raw/master/csl-citation.json" }[6], sehingga banyaknya massa yang melintasi suatu tempat adalah:m = A.v.q (Kg/det) (2)dimanav : kecepatan angin (m/detik)A : Penampang (m2)q : kepadatan udara (kg/m3)Jika melihat rumusan 1 dan 2, dapat dihitung besaran daya yang diperoleh dari energi bayu sebagai berikut :P= 0,5 v3.A.q per satuan waktu (3)dimanaP: daya (W)v: kecepatan angin (m/det)q: kepadatan udara (kg/m3)A: penampang (m2)Jika besaran pada kecepatan angin diperhatikan dan luas penampang sudu, maka diperoleh rumusan sebagai berikut : P= v3.k.A (4)dengan k: konstanta (1,37.10-5)P: daya (kW)A: penampang (m2)V: kecepatan angin (Km/jam)Dari persamaan 4, nilai besaran A dan k di gambarkan sebagai konstanta. Pada dasarnya nilai besaran k menpunyai suatu factor seperti efisiensi system dan geseran, dan juga tergantung pada kecepatan angin v. luas penampang sudu A tergantung pada bentuk sudu. Untuk keperluan estimasi sementara dan sangat kasar, maka di gunakan rumusan :P= 0,1 V3 (5)dengan P: daya persatuan luas (W/m2)v: kecepatan angina (m/detik)Terdapat tiga komponen gaya angin yang bekerja pada sudu kincir, yaitu sebagai berikut :Memiliki arah sama dengan arah angin dinamakan gaya aksial a.Meninggalkan titik tengah dinamakan gaya sentrifugal s.Menghasilkan momen dinamakan gaya tangensial t, merupakan gaya produktif dan bekerja tegak lurus pada radius[figure 1 about here.]Gambar 1 memperlihatkan sebuah kincir dengan 3 sudu dengan gaya a, t dan s yang bekerja pada daun-daun sudu. Gaya-gaya tersebut dapat di hitung dan dirumuskan sebagai berikut : a= 0,00142 v2R2 dalam Kgs= 367 RP/v1v dalam Kgt= 0,00219 W v2v2/R1 dalam kg mdengan P: daya (Kw)R: radius daun rotor (m)R1: radius hingga titik berat daun (m)v: kecepatan angin (m/detik)W: berat daun (Kg)v1: kecepatan relatif ujung sudu terhadap vv2: kecepatan relatif titik berat sudu ter hadap va: gaya aksials: gaya sentrifugalt: momen tangensialPermanent Magnet Synchronous Generator (PMSG)Generator sinkron dengan magnet permanen atau biasa disebut dengan Permanent Magnet Synchronous Generator (PMSG)ADDIN CSL_CITATION { "citationItems" : [ { "id" : "ITEM-1", "itemData" : { "DOI" : "10.11591/ijece.v10i3.pp2815-2823", "ISSN" : "20888708", "abstract" : "This paper proposes a robust control strategy for optimizing the maximum power captured in Wind Energy Conversion Systems (WECS) based on permanent magnet synchronous generators (PMSG), which is integrated into the grid. In order to achieve the maximum power point (MPPT) the machine side converter regulates the rotational speed of the PMSG to track the optimal speed. To evaluate the performance and effectiveness of the proposed controller, a comparative study between the IBC control and the vector control based on PI controller was carried out through computer simulation. This analysis consists of two case studies including stochastic variation in wind speed and step change in wind speed.", "author" : [ { "dropping-particle" : "", "family" : "Makhad", "given" : "Mohamed", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" }, { "dropping-particle" : "", "family" : "Zazi", "given" : "Malika", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" }, { "dropping-particle" : "", "family" : "Loulijat", "given" : "Azeddine", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" } ], "container-title" : "International Journal of Electrical and Computer Engineering", "id" : "ITEM-1", "issue" : "3", "issued" : { "date-parts" : [ [ "2020" ] ] }, "page" : "2815-2823", "title" : "Nonlinear control of WECS based on PMSG for optimal power extraction", "type" : "article-journal", "volume" : "10" }, "uris" : [ "http://www.mendeley.com/documents/?uuid=c486dc63-1ea7-4418-8e86-d08929b81f60", "http://www.mendeley.com/documents/?uuid=3e6f7a8e-a505-4072-b19f-66796bc376b8", "http://www.mendeley.com/documents/?uuid=2d955359-3c58-4d58-b548-8ae29e3ca913" ] } ], "mendeley" : { "formattedCitation" : "[7]", "plainTextFormattedCitation" : "[7]", "previouslyFormattedCitation" : "[7]" }, "properties" : { }, "schema" : "https://github.com/citation-style-language/schema/raw/master/csl-citation.json" }[7]ADDIN CSL_CITATION { "citationItems" : [ { "id" : "ITEM-1", "itemData" : { "DOI" : "10.14710/ijred.8.1.81-89", "ISSN" : "22524940", "abstract" : "The extensive application of permanent magnet synchronous generator (PMSG) based wind energy conversion system (WECS) has attracted growing interests of power researchers on its control and operation. This paper aims to propose a kind of fractional order sliding mode based (FOSM) power output control scheme of PMSG based WECS with fast exponential reaching law (FERL). The FERL based FOSM control technique proves to be better capable of attenuating the level of the chattering phenomenon with faster convergence speed. The boost converter and the neutral point clamped inverter, both of which are utilized to connect the PMSG and the power grid, are controlled with the proposed FOSM control scheme. Furthermore, the direct and quadrature grid current are tracked, which leads to the control of the active and reactive power output. The effectiveness of the proposed method is verified with an 8 kW wind turbine simulation and the test results indicate that the proposed method can better track the reference value of active and reactive power. In addition to that, the total harmonic distortion level of the grid current is largely mitigated.", "author" : [ { "dropping-particle" : "", "family" : "Khan", "given" : "Muhammad Waseem", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" }, { "dropping-particle" : "", "family" : "Wang", "given" : "Jie", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" }, { "dropping-particle" : "", "family" : "Xiong", "given" : "Linyun", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" }, { "dropping-particle" : "", "family" : "Ma", "given" : "Meiling", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" } ], "container-title" : "International Journal of Renewable Energy Development", "id" : "ITEM-1", "issue" : "1", "issued" : { "date-parts" : [ [ "2019" ] ] }, "page" : "81-89", "title" : "Fractional order sliding mode control of PMSG-wind turbine exploiting clean energy resource", "type" : "article-journal", "volume" : "8" }, "uris" : [ "http://www.mendeley.com/documents/?uuid=91b0bb0c-0ca2-40c4-b5fa-572f40a0e7d6", "http://www.mendeley.com/documents/?uuid=63cd4e2a-afa5-4649-b875-6ba327621e24", "http://www.mendeley.com/documents/?uuid=18939c2c-260f-4159-bbe5-d2c932ee1c97" ] } ], "mendeley" : { "formattedCitation" : "[8]", "plainTextFormattedCitation" : "[8]", "previouslyFormattedCitation" : "[8]" }, "properties" : { }, "schema" : "https://github.com/citation-style-language/schema/raw/master/csl-citation.json" }[8], dapat dimodelkan dengan persamaan transformasi park. Persamaan didasarkan pada arus stator dan tegangan seperti persamaan 5,6.vsd=Rsid+dλddt-ωeλd (5)vsq=Rsiq+dλqdt-ωeλq (6)Dimana :vsd dan vsq= tegangan statorid dan iq= arus statorRs= resistansi belitan statorFluks pada stator dapat dituliskan seperti persamaan 5,6.λd=Lsdid+λm (7)λq=Lsqiq (8)Dimana λm= fluks magnetik intiLsddan Lsq= induktansi belitan statorTorsi elektrik dari PMSG dapat dituliskan seperti persamaan 9ADDIN CSL_CITATION { "citationItems" : [ { "id" : "ITEM-1", "itemData" : { "abstract" : "Abstrak Tulisan ini membandingkan dua macam metode tuning parameter Proporsional Integrator Diferensial (PID) kontroler untuk mengatur kecepatan turbin angin dengan pitch angel control. Yang pertama adalah desain kontroler dengan metode Ziegler-Nichols, kedu aadalah desain kontroler dengan metode Imperialist Competitive Algorithm (ICA). PID controller merupakan sebuah alat untuk mengontrol sebuah sistem, PID controller ini digunakan untuk mengontrol Permanent Magnet Synchronous Generator (PMSG). Pitch variable-speed wind turbine telah berkembang pesat dalam beberapa tahun terakhir. Ada dua strategi control untuk mengontrol variable kecepatan pada wind turbine. Saat kecepatan angin rendah di bawah nilai rata-rata, pengatur kecepatan harus dapat mengatur kecepatan rotor secara terus-menerus untuk mempertahankan kecepatan pada sebuah level, yang memberikan koefisien daya maksimum, sehingga efisiensi turbin akan meningkat. Pengaturan pitch angle diperlukan dalam kondisi kecepatan angin diatas yang diinginkan. Perubahan kecil pada pitch angle dapat mempengaruhi output daya. Pitch angle control adalah salah satu cara untuk menyesuaikan torsi aerodinamik pada tubin angin saat kecepatan angin berada diatas nilai kecepatan dan beberapa variable control lainnya, seperti kecepatan angin, kecepatan generator, dan daya generator. Hasil penelitian menunjukkan bahwa menggunakan PID controller yang ditunning dengan ICA lebih stabil dan daya output lebih optimal. Metode yang diusulkan dapat diterapkan pada sistem yang lebih tinggi. Keyword \u2013 turbin angin, pitch angle control, PID, ICA I. PENDAHULUAN Seiring dengan kemajuan teknologi dan peningkatan jumlah penduduk maka kebutuhan akan energy listrik juga akan meningkat. Akibatnya beban listrik akan meningkat juga. Dengan adanya penngkatan beban listrik maka pasokan listrik ke konsumen juga dipengaruhi. Akibatnya apabila pasokan listrik bertambah maka daya output yang dikeluarkan oleh generator juga akan bertambah. Permanent Magnet Synchronous Generator (PMSG) merupakan generator sinkron yang mempunyai magnet permanen. PMSG ini akan dikopel dengan turbine angin agar menghasilkan energi listrik, sehingga dengan adanya PMSG dapat mengurangi biaya pengeluaran yang mahal. PMSG mempunyai efisiensi yang kurang optimal untuk menghasilkan daya listrik. Hal ini dipengaruhi oleh kecepatan angin, pitch angle dan lain-lain. Oleh karena itu, PMSG perlu dikontrol untuk menghasilkan daya listrik yang optimal. Dalam mengontrol PMSG terda\u2026", "author" : [ { "dropping-particle" : "", "family" : "Ali", "given" : "Machrus;", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" }, { "dropping-particle" : "", "family" : "Robandi", "given" : "Imam;", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" } ], "container-title" : "Prosiding SENTIA 2015 \u2013 Politeknik Negeri Malang", "id" : "ITEM-1", "issue" : "1", "issued" : { "date-parts" : [ [ "2015" ] ] }, "page" : "2085-2347", "title" : "Desain Pitch Angle Controller Turbin Angin Dengan Permanent Magnetic Synchronous Generator (PMSG) Menggunakan Imperialist Competitive Algorithm (ICA)", "type" : "article-journal", "volume" : "7" }, "uris" : [ "http://www.mendeley.com/documents/?uuid=ab6535dc-d80f-4ca3-8d16-f8a39358b1eb" ] } ], "mendeley" : { "formattedCitation" : "[4]", "plainTextFormattedCitation" : "[4]", "previouslyFormattedCitation" : "[4]" }, "properties" : { }, "schema" : "https://github.com/citation-style-language/schema/raw/master/csl-citation.json" }[4]ADDIN CSL_CITATION { "citationItems" : [ { "id" : "ITEM-1", "itemData" : { "DOI" : "10.25126/jtiik.201855430", "ISSN" : "2355-7699", "abstract" : "<p class=\"IndexTerms\"><span lang=\"IN\">Perubahan fluktuasi frekuensi sangat mempengaruhi kualitas daya pada sumber energi terbarukan turbin angin yang dihibrid dengan diesel. Sistem hibrid adalah jaringan terkontrol dari beberapa pembangkit tenaga energi terbaharukan seperti : turbin angin, sel surya, mikrohidro dan sebagainya. Ada beberapa permasalahan yang dapat meningkatkan osilasi frekuensi rendah, seperti tidak optimalnya setting gain dan kecilnya waktu konstan pada Automatic Voltage Regulator, Terlalu banyak jaringan transmisi yang panjang sehingga kemampuan lemah (weak line). Dalam penerapannya sistem wind-diesel dikontrol dengan kontroler PID, namun dalam penyetelan nilai gain dari PID masih dalam metode trial-error saja, sehingga sulit untuk mendapatkan nilai optimum dari PID. Dalam penelitian ini diterapkan desain kontrol dengan menggunakan Metode Cerdas dalam mencari nilai optimum Proporsional Intergral Derivatif (PID) untuk mengatur frekuensi beban dengan program Matlab/ Simulink. Pemodelan wind-diesel menggunakan fungsi transfer dari diagram turbin angin dan diesel. Respon sistem dengan Simulink/ Matlab dengan membandingkan dengan sistem tak terkontrol dan dengan metode PID-Trial Error, menunjukkan bahwa besar overshoot dan respon keadaan mantap (Settling Time) pada sistem terkontrol <em>Differential Evolution (DEVO) </em>menjadi berkurang dan lebih cepat.</span></p><p class=\"IndexTerms\"><span lang=\"IN\"><br /></span></p><p class=\"IndexTerms\"><em><strong><span lang=\"IN\">Abstract</span></strong></em></p><p class=\"IndexTerms\"><em>Changes in load frequency greatly affect the power quality of renewable wind turbine energy sources with diesel. Hybrid power system is a network consisting of several renewable energy plants such as wind power, solar power, hydro power, and others. Some problems can increase the low frequency oscillations in the system, such as gain settings and small time constants of the non-optimal Automatic Voltage Regulator, long transmission lines so that their capabilities are weak (weak line). In some previous studies, the wind-diesel system is controlled by conventional Proportional, Integral, Derivative (PID) controllers, but the PID gain setting is still in the trial-error method, making it difficult to obtain optimal PID values. In this research, we proposed a method of optimizing PID parameters in wind-diesel by using intelligent method based on Differential Evolution (DEVO). The objective function of this research is to \u2026", "author" : [ { "dropping-particle" : "", "family" : "Djalal", "given" : "Muhammad Ruswandi", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" }, { "dropping-particle" : "", "family" : "Ali", "given" : "Machrus", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" }, { "dropping-particle" : "", "family" : "Nurohmah", "given" : "Hidayatul", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" }, { "dropping-particle" : "", "family" : "Ajiatmo", "given" : "Dwi", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" } ], "container-title" : "Jurnal Teknologi Informasi dan Ilmu Komputer", "id" : "ITEM-1", "issue" : "5", "issued" : { "date-parts" : [ [ "2018" ] ] }, "page" : "511", "title" : "Aplikasi Algoritma Differential Evolution untuk Desain Optimal Load Frequency Control pada Pembangkit Listrik Tenaga Hibrid Angin dan Diesel", "type" : "article-journal", "volume" : "5" }, "uris" : [ "http://www.mendeley.com/documents/?uuid=0feca17b-7c4e-4a64-ad2b-196c7ca0a24c", "http://www.mendeley.com/documents/?uuid=3b023754-c9d1-4177-ac49-7fbe63b9eff2" ] } ], "mendeley" : { "formattedCitation" : "[9]", "plainTextFormattedCitation" : "[9]", "previouslyFormattedCitation" : "[9]" }, "properties" : { }, "schema" : "https://github.com/citation-style-language/schema/raw/master/csl-citation.json" }[9].Te= 32p[λmiq-Lsq-Lsdiqid] (9)METODOLOGI PENELITIANBat Algoritham (BA)Algoritma kelelawar diusulkan oleh Xin-She Yang, berdasarkan ekolokasi mikroba. Kelelawar biasanya menggunakan ekolokasi untuk mencari makanan. Selama pemindahan, kelelawar biasanya mengirimkan pulsa pendek, namun ketika mereka menemukan makanan, denyut nadi mereka meningkat dan frekuensinya naikADDIN CSL_CITATION { "citationItems" : [ { "id" : "ITEM-1", "itemData" : { "ISSN" : "00135852", "abstract" : "Swarm intelligence is a very powerful technique appropriate to optimization. In this paper, we presenta new swarm intelligence algorithm, which is based on the bat algorithm. Bat algorithm has been hybridized with differential evolution strategies. This hybridization showed very promising results on standard benchmark functions and also significantly improved the original bat algorithm.", "author" : [ { "dropping-particle" : "", "family" : "Fister", "given" : "Iztok", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" }, { "dropping-particle" : "", "family" : "Fister", "given" : "Dusan", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" }, { "dropping-particle" : "", "family" : "Yang", "given" : "Xin She", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" } ], "container-title" : "Elektrotehniski Vestnik/Electrotechnical Review", "id" : "ITEM-1", "issue" : "1-2", "issued" : { "date-parts" : [ [ "2013" ] ] }, "page" : "1-7", "title" : "A hybrid bat algorithm", "type" : "article-journal", "volume" : "80" }, "uris" : [ "http://www.mendeley.com/documents/?uuid=7fff72e9-841b-4b9f-88af-a29c689eddb2", "http://www.mendeley.com/documents/?uuid=cd6c1434-12e4-4ad7-99e3-e457fab4662c", "http://www.mendeley.com/documents/?uuid=1e195c90-bc8f-4b93-be23-af4f7fb34a2d" ] } ], "mendeley" : { "formattedCitation" : "[10]", "plainTextFormattedCitation" : "[10]", "previouslyFormattedCitation" : "[10]" }, "properties" : { }, "schema" : "https://github.com/citation-style-language/schema/raw/master/csl-citation.json" }[10]ADDIN CSL_CITATION { "citationItems" : [ { "id" : "ITEM-1", "itemData" : { "abstract" : "The wind diesel system is greatly influenced by the wind speed and which is then combined with the diesel engine. Optimization of wind-diesel systems is needed to get good frequency quality and optimal power. The optimal setting of the gain and time constant on the Load Frequency Control (LFC) causes the frequency stability to be weak. In practice, the wind-diesel system is controlled by a PID controller and Fuzzy Logic Controller. At present the gain value setting of the PID is still in the conventional method, so it is difficult to get the optimal value. In this study the control design is applied by using the Smart Method in finding the optimum Proportional Integral Derivative (PID) based on Bat Algorithm (BA). For comparison, the method is used without a control method, conventional PID method, PID auto tune matlab method, PID-BA method, and PID-BA-ANFIS. Wind-diesel modeling uses the transfer function of wind turbine and diesel diagrams. From the results of research that has been done shows that the smallest undershoot on PID-BA-ANFIS, the smallest overshot on PID-BA-ANFIS, and the fastest settling time is equal to PID-BA-ANFIS. This research can later be continued using other artificial intelligence methods.", "author" : [ { "dropping-particle" : "", "family" : "Ali", "given" : "Machrus;", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" }, { "dropping-particle" : "", "family" : "Ulum;", "given" : "Miftachul", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" } ], "container-title" : "Jurnal Elektro", "id" : "ITEM-1", "issue" : "1", "issued" : { "date-parts" : [ [ "2020" ] ] }, "page" : "332-340", "title" : "Kontrol Frekuensi Wind-Diesel Menggunakan Hibrid Kontroller PID-BA-ANFIS", "type" : "article-journal", "volume" : "5" }, "uris" : [ "http://www.mendeley.com/documents/?uuid=602eba60-74df-4f9c-91c5-40c25e9a09fa", "http://www.mendeley.com/documents/?uuid=a4e41527-b6d6-4b79-97ef-358e93e214f9" ] } ], "mendeley" : { "formattedCitation" : "[11]", "plainTextFormattedCitation" : "[11]", "previouslyFormattedCitation" : "[11]" }, "properties" : { }, "schema" : "https://github.com/citation-style-language/schema/raw/master/csl-citation.json" }[11]ADDIN CSL_CITATION { "citationItems" : [ { "id" : "ITEM-1", "itemData" : { "author" : [ { "dropping-particle" : "", "family" : "Ali", "given" : "Machrus", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" }, { "dropping-particle" : "", "family" : "Fahmi", "given" : "Tubagus", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" }, { "dropping-particle" : "", "family" : "Khaidir", "given" : "Delief Wida", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" }, { "dropping-particle" : "", "family" : "Nurohmah", "given" : "Hidayatul", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" } ], "container-title" : "Jurnal FESPE", "id" : "ITEM-1", "issue" : "2", "issued" : { "date-parts" : [ [ "2020" ] ] }, "page" : "1-5", "title" : "Optimizing Single Axis Tracking for Bat Algorithm-based Solar Cell", "type" : "article-journal", "volume" : "2" }, "uris" : [ "http://www.mendeley.com/documents/?uuid=0afdbec3-84b8-416c-a310-22cd87e7c468" ] } ], "mendeley" : { "formattedCitation" : "[12]", "plainTextFormattedCitation" : "[12]", "previouslyFormattedCitation" : "[12]" }, "properties" : { }, "schema" : "https://github.com/citation-style-language/schema/raw/master/csl-citation.json" }[12]. Peningkatan frekuensi berarti penyesuaian frekuensi, yang mempersingkat waktu gema dan meningkatkan akurasi lokasiADDIN CSL_CITATION { "citationItems" : [ { "id" : "ITEM-1", "itemData" : { "DOI" : "10.30534/ijatcse/2020/3791.12020", "ISSN" : "22783091", "abstract" : "Bat algorithm is introduced by Xin-She Yang. This article describes an overview of Bat algorithm, which is inspired by the life of a bat family, as well as an overview of bat algorithm applications in various categories for solving optimization problems. Optimization is a process of determining the best solution to make something as functional and effective as possible by minimizing or maximizing the parameters involved in the problems. The categories reviewed are engineering, scheduling, transportation/vehicle, and networking. The objective of this is to provide an overview and to summarize the review of applications on the bat algorithm.", "author" : [ { "dropping-particle" : "", "family" : "Ahmmad", "given" : "Siti Nor Zawani", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" }, { "dropping-particle" : "", "family" : "Muchtar", "given" : "Farkhana", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" } ], "container-title" : "International Journal of Advanced Trends in Computer Science and Engineering", "id" : "ITEM-1", "issue" : "1.1 Special Issue", "issued" : { "date-parts" : [ [ "2020" ] ] }, "page" : "212-219", "title" : "A review on applications of optimization using bat algorithm", "type" : "article-journal", "volume" : "9" }, "uris" : [ "http://www.mendeley.com/documents/?uuid=202ba95f-71d1-4d4d-8056-222f1fd49bc1", "http://www.mendeley.com/documents/?uuid=bd418038-5154-4f58-9f83-5158b2e95890", "http://www.mendeley.com/documents/?uuid=c2be996a-0aef-43f7-a798-130d3c20fc30" ] } ], "mendeley" : { "formattedCitation" : "[13]", "plainTextFormattedCitation" : "[13]", "previouslyFormattedCitation" : "[13]" }, "properties" : { }, "schema" : "https://github.com/citation-style-language/schema/raw/master/csl-citation.json" }[13]. Dalam algoritma standar kelelawar, setiap individu memiliki posisi yang ditentukan xi(t) dan kecepatan vi(t) di ruang pencarian, yang akan diperbarui saat jumlah iterasi meningkat. Posisi baru xi(t) dan kecepatan vi(t) dapat :xi(t+1)=xi(t)+vi(t+1) (10)vi(t+1) =vi(t)+(xi(t)-p(t))fi (11)fi=fmin+(fmaks-fmin)  β (12)Dimana β adalah vektor acak dengan distribusi seragam, kisarannya adalah [0,1]. P(t) adalah solusi optimal global saat ini dan fmin=0,fmaks=1.Seperti yang kita juga tahu, apakah BA memiliki kem ampuan pencarian global dan lokal tergantung pada parameternya; Oleh karena itu, perlu untuk mencapai keseimbangan antara pencarian global dan kemampuan pencarian lokal dengan mengadopsi parameter adaptif. Formula untuk strategi pencarian lokal adalah sebagai berikut:xi(t+1)=hal→(tεA(t) (13)dimana ε adalah nomor acak dari [−1,1], A(t) adalah kenyaringan rata-rata populasi. Selain itu, ini mencapai pencarian global dengan mengendalikan kenyaringan Ai (t+1) dan denyut nadiri(t+1).Ai(t+1) = αSAI(t) (14)ri(t+1) = rI(0)[1-exp(-γt)] (15)dimana α dan γ adalah konstanta dan α>0, γ>0. Ai(0) dan rI(0) adalah nilai awal dari kenyaringan dan denyut nadi, masing-masing. Berikut ini menjelaskan langkah-langkah eksekusi dari algoritma standar kelelawar.Langkah 1: Untuk setiap kelelawar, inisialisasi posisi, kecepatan, dan parameter dan menghasilkan frekuensi secara acak dengan Persamaan (12).Langkah 2: Perbarui posisi dan kecepatan setiap kelelawar dengan Persamaan (10) dan (11).Langkah 3: Untuk setiap kelelawar, hasilkan angka acak (0 < r a n d1 < 1). Perbarui posisi temp dan hitung nilai kebugaran untuk kelelawar yang sesuai dengan Persamaan (4) jikar a n d1 <rI( t ).Langkah 4: Untuk setiap kelelawar, hasilkan angka acak (0 < r a n d2 < 1). Memperbarui Ai( t ) dan rI( t ) dengan Persamaan (14) dan (15), masing-masing, jika r a n d2 <Ai( t ) dan f(xI( t ) ) < f( p ( t ) ).Langkah 5: Sortir setiap individu berdasarkan nilai kebugaran dan simpan posisi terbaik.Langkah 6: Algoritma selesai jika kondisi terpenuhi, jika tidak, lanjutkan ke Langkah 2.Langkah-langkah rinci tentang algoritma kelelawar standar disajikan pada Gambar 47879006719570002.[figure 2 about here.]463550065671700046355006567170004787900671957000PID ControllersKontrol PID telah banyak digunakan pada industri khususnya aplikasi kontrol karena strukturnya simple, algoritma kontrol yang konperhensip, dan biayanya murahADDIN CSL_CITATION { "citationItems" : [ { "id" : "ITEM-1", "itemData" : { "DOI" : "10.21070/jeee-u.v3i1.2023", "abstract" : "Permanent Magnet Syschronous Machine (PMSM) has low torque, so good control is needed to be stable quickly. PMSM uses the principle of faraday experiments which is rotating a magnet in a coil or vice versa. When a magnet moves in a coil, there is a change in magnetic flux in the coil and penetrates perpendicular to the coil so that there is a potential difference between the ends of the coil, regarding this due to changes in magnetic flux. Magnetic flux can be changed by moving a magnet in a coil or vice versa by utilizing other energy sources. To get a good optimization result, the right control constants are needed. So that the best output is obtained. To get the right constants, a suitable and good method is needed, including using artificial intelligence. In this study using the Imperialist Competitive Algorithm (ICA) method. From the simulation results it was found that the best controller design in this study was ANFIS-ICA with the best profile, torque profile, voltage profile, and rotation profile. The largest current is 2.45 A, the smallest overshot torque is 0.48 pu, the largest voltage frequency is 9.84 khz, and the best rotation (close to the reference) is 700.02 rpm. The results of this study will be continued with the use of other artificial intelligence.", "author" : [ { "dropping-particle" : "", "family" : "Ali", "given" : "Machrus", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" }, { "dropping-particle" : "", "family" : "Raikhani", "given" : "Agus", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" }, { "dropping-particle" : "", "family" : "Budiman", "given" : "Budiman", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" }, { "dropping-particle" : "", "family" : "Sopian", "given" : "Hendi", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" } ], "container-title" : "JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA)", "id" : "ITEM-1", "issue" : "1", "issued" : { "date-parts" : [ [ "2019" ] ] }, "page" : "57-81", "title" : "Algoritma Persaingan Imperialis Sebagai Optimasi Kontroler PID dan ANFIS Pada Mesin Sinkron Magnet Permanen", "type" : "article-journal", "volume" : "3" }, "uris" : [ "http://www.mendeley.com/documents/?uuid=a0396878-c50f-46e5-b185-6988733739c1", "http://www.mendeley.com/documents/?uuid=15a296da-367d-4ba5-b71d-1146503cf247" ] } ], "mendeley" : { "formattedCitation" : "[14]", "plainTextFormattedCitation" : "[14]", "previouslyFormattedCitation" : "[14]" }, "properties" : { }, "schema" : "https://github.com/citation-style-language/schema/raw/master/csl-citation.json" }[14]. Berikut model skematik dari control PID ditunjukan oleh Gambar 3 sebagai berikut:[figure 3 about here.]Kendali signal u(t) merupakan kombinasi linear dari error e(t), yaitu Integral dan DerivatifADDIN CSL_CITATION { "citationItems" : [ { "id" : "ITEM-1", "itemData" : { "abstract" : "Motor DC yang terhubung dengan seri atau shunt banyak digunakan dalam berbagai aplikasi. Karena memiliki torsi yang relatif tinggi untuk memikul beban dibandingkan dengan motor permanen magnet dengan ukuran yang sama. Motor permanen magnet bersifat linear sedangkan motor DC bersifat non linea. Ketidaklinearan dari motor DC tersebut akan mempersulit dalam aplikasi yang memerlukan kecepatan kontrol secara otomatis. Sayangnya, non linear model dinamik dari motor DC memiliki keterbatasan pada desain dari ragkaian close-loop feedback kontroler. Karakteristik non linear dari motor DC seperti saturasi dan gesekan dapat menurunkan kinerja dari konvensional Kontrol. Pemodelan system pengaturan motor Motor DC harus disesuaikan dengan karakteristik motor DC dan model pengaturannya. Metode kontrol Proporsional-Integral-Derivative (PID) banyak diterapkan di bidang industri. Kontroler ini memiliki parameter-parameter pengontrol, yaitu Kp, Ki, dan Kd. Ketiga parameter tersebut diturunkan dari perhitungan matematis pada metode PID konvensional. Metode osilasi Ziegler-Nichols merupakan sebuah metode penalaan PID yang dapat dilakukan secara otomatis tanpa memodelkan sistem. Paper ini digunakan untuk membandingkan perancangan kecepatan motor DC tanpa controller, dengan manual controller, dengan PID tanpa Artificial Intelegence (AI) dan dengan menggunakan Proporsional-Integral-Derivative (PID) yang dituning dengan 2 (dua) AI. AI yang digunakan adalah Particle Swarm Optimization (PSO). Sistem kontrol kecapatan motor DC yang paling baik adalah kontrol PID-PSO, kemudian dengan kontrol, PID-ZN, PID dan Nonkontrol. Didapatkan nilai; overshoot tanpa kontrol 0 dengan settling time 7,634 detik, overshoot PID standart 1,513 dengan settling time 10 detik, overshoot PID-ZN 1,495 dengan settling time 2,023 detik, overshoot PID-PSO 1,103 dengan settling time 1,32 detik", "author" : [ { "dropping-particle" : "", "family" : "Ali", "given" : "Machrus", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" }, { "dropping-particle" : "", "family" : "Umami", "given" : "Izzatul", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" }, { "dropping-particle" : "", "family" : "Sopian", "given" : "Hendi", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" } ], "container-title" : "Jurnal Intake", "id" : "ITEM-1", "issue" : "1", "issued" : { "date-parts" : [ [ "2016" ] ] }, "page" : "10-20", "title" : "Particle Swarm Optimization (PSO) Sebagai Tuning PID Kontroler Untuk Kecepatan Motor DC", "type" : "article-journal", "volume" : "7" }, "uris" : [ "http://www.mendeley.com/documents/?uuid=b927b8cf-ee62-43f2-adc6-13b39dcd9148" ] } ], "mendeley" : { "formattedCitation" : "[15]", "plainTextFormattedCitation" : "[15]", "previouslyFormattedCitation" : "[15]" }, "properties" : { }, "schema" : "https://github.com/citation-style-language/schema/raw/master/csl-citation.json" }[15]ADDIN CSL_CITATION { "citationItems" : [ { "id" : "ITEM-1", "itemData" : { "DOI" : "10.1109/ICEEIE47180.2019.8981428", "ISBN" : "9781728141602", "abstract" : "The sun emits light which is solar radiation energy. This solar radiation energy can be utilized for humans, including by changing the energy of solar radiation into electrical energy. Radiation energy is changed with the help of solar or photovoltaic panels. To increase the efficiency of electricity production in solar panels, by adding Dual Axis Tracking controls. The Dual Axis Tracking Photovoltaic system is expected that solar panels will always face the sun. Because of the deviation of the direction of the solar panel to the direction of the sun will reduce the performance of generating electricity. In this study comparing 4 dual-axis tracking design methods, namely without a controller, with PID-PSO controllers that have been studied, with PDI-FA controller, and with ANFIS-FA controller. The simulation results show that ANFIS-FA is the best controller of the four methods used. This research will be a reference to compare with other methods to obtain the best method in this study.", "author" : [ { "dropping-particle" : "", "family" : "Ali", "given" : "Machrus", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" }, { "dropping-particle" : "", "family" : "Nurohmah", "given" : "Hidayatul", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" }, { "dropping-particle" : "", "family" : "Budiman", "given" : "", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" }, { "dropping-particle" : "", "family" : "Suharsono", "given" : "Judi", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" }, { "dropping-particle" : "", "family" : "Suyono", "given" : "Hadi", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" }, { "dropping-particle" : "", "family" : "Muslim", "given" : "Muhammad Aziz", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" } ], "container-title" : "ICEEIE 2019 - International Conference on Electrical, Electronics and Information Engineering: Emerging Innovative Technology for Sustainable Future", "id" : "ITEM-1", "issued" : { "date-parts" : [ [ "2019" ] ] }, "page" : "53-57", "title" : "Optimization on PID and ANFIS Controller on Dual Axis Tracking for Photovoltaic Based on Firefly Algorithm", "type" : "paper-conference" }, "uris" : [ "http://www.mendeley.com/documents/?uuid=e3330d76-5b3c-42e1-827b-370a6403170e" ] } ], "mendeley" : { "formattedCitation" : "[16]", "plainTextFormattedCitation" : "[16]", "previouslyFormattedCitation" : "[16]" }, "properties" : { }, "schema" : "https://github.com/citation-style-language/schema/raw/master/csl-citation.json" }[16] Persamaan dari sistem kendali PID dapat di rumuskan : (16) (17)dimana ;Kp = Proporsianal GainKi = Integral GainKD = Derivatif GainTi = Integral TimeTD = Derivatif TimeHASIL DAN PEMBAHASANKonstanta dan parameter turbin angin diperoleh dari karakteristik turbin angin [figure 4 about here.]Desain wind turbine tanpa kendali dan dengan kendali dapat dilihat pada gambar 5. Dari desain sistem tersebut dimasukkan nilai parameter-parameternya.[figure 5 about here.]Hasil simulasi dari wind turbine dengan metode manual (Ziegler-Nichols), dengan PID-tuning BA dapat dilihat pada gambar 7,8,9 dan 10. Dengan nilai perioda dasar pada turbin, Tu = 3, dan penguatan dasar Ku = 14.4, digunakan untuk menentukan konstanta-konstanta Ziegler-Nichols Kp = 3Ku/5 = 8.64, Ki = Tu /2 = 1.5 dan Kd = 3Tu /25 = 0.36. Hasil nilai sistem kendali pada tabel 1[tabel 1 about here.]Result running program kecepatan anginKecepatan angin di buat manual untuk semua control dengan parameter amplitudo dan waktu yang sama. [figure 6 about here.]Dari nilai kecepatan angin maka di peroleh grafik kecepatan angin seperti pada gambar 6. Dimana nilai kecepatan angin baik ada kendali maupun tidak ada kendali memiliki nilai yang sama.[figure 7 about here.]Result running program pitch anglePada saat running pitch angle di peroleh hasil sebagai berikut [tabel 2 about here.]Hasil pitch angle mengikuti perubahan kecepatan angin di tunjukkan pada gambar 8.[figure 8 about here.]Result running program torsi mekanik Pada saat sistem di jalankan maka diperoleh nilai torsi mekanik dalam Nm A_Peak sebagai berikut :[tabel 3 about here.]Nilai sudut pitch angle di mulai 6 (deg) dengan nilai torsi tanpa kendali bernilai negatif. Saat diberikan sistem kendali maka ada perubahan perbaikan nilai torsi mengikuti perubahan kecepatan angin. Seperti pada gambar 9.[figure 9 about here.]Result running program pada teganganBesaran nilai tegangan pada saat sistem di jalankan dalam V_Peak L-L/krpm sebagai berikut : [tabel 4 about here.]Grafik hasil tegangan di tunjukkan pada gambar 10.[figure 10 about here.]KesimpulanDari hasil running dapat disimpulkan bahwa nilai Pitch Angle PID_BA lebih baik yaitu sebesar 65 – 70 (deg), nilai tegangan PID_BA juga lebih baik yaitu sebesar 3100 V_Peak L-L/krpm dan nilai torsi PID_BA lebih optimal yaitu sebesar 1.04 –4.75 Nm A_Peak. referensiADDIN Mendeley Bibliography CSL_BIBLIOGRAPHY [1]Rukslin, M. Haddin, and A. Suprajitno, “Pitch angle controller design on the wind turbine with permanent magnet synchronous generator (PMSG) base on firefly algorithms (FA),” in Proceedings - 2016 International Seminar on Application of Technology for Information and Communication, ISEMANTIC 2016, 2017, pp. 13–17, doi: 10.1109/ISEMANTIC.2016.7873802.[2]P. J. Schubel and R. J. Crossley, “Wind turbine blade design,” Energies, vol. 5, no. 9. pp. 3425–3449, 2012, doi: 10.3390/en5093425.[3]M. Arrohman, R. Fajardika, Muhlasin, and M. Ali, “Optimasi Frekuensi Kontrol pada Sistem Hybrid Wind-Diesel Menggunakan PID Kontroler Berbasis ACO dan MFA,” in SAINTEK II-2017, UB, Malang, 2017, pp. 124–127.[4]M. Ali and I. Robandi, “Desain Pitch Angle Controller Turbin Angin Dengan Permanent Magnetic Synchronous Generator (PMSG) Menggunakan Imperialist Competitive Algorithm (ICA),” Pros. SENTIA 2015 – Politek. Negeri Malang, vol. 7, no. 1, pp. 2085–2347, 2015, [Online]. Available: http://sentia.polinema.ac.id/index.php/SENTIA2015/article/view/186.[5]W. Krisdianto;, J. F. Miftachul, N. Dwi, Ajiatmo; Hidayatul, and A. Machrus, “Pengontrol PID Optimasi pada Wind-Turbine Berbasis Ant Colony Optimization dan Firefly Algorithm,” SinarFe7, vol. 1, no. 1, pp. 128–133, 2018.[6]R. Yunginger and N. S. Nawir, “Analisis Energi Angin Sebagai Energi Alternatif Pembangkit Listrik Di Kota Di Gorontalo,” Univ. Negeri Gorontalo, vol. 15, pp. 1–15, 2015.[7]M. Makhad, M. Zazi, and A. Loulijat, “Nonlinear control of WECS based on PMSG for optimal power extraction,” Int. J. Electr. Comput. Eng., vol. 10, no. 3, pp. 2815–2823, 2020, doi: 10.11591/ijece.v10i3.pp2815-2823.[8]M. W. Khan, J. Wang, L. Xiong, and M. Ma, “Fractional order sliding mode control of PMSG-wind turbine exploiting clean energy resource,” Int. J. Renew. Energy Dev., vol. 8, no. 1, pp. 81–89, 2019, doi: 10.14710/ijred.8.1.81-89.[9]M. R. Djalal, M. Ali, H. Nurohmah, and D. Ajiatmo, “Aplikasi Algoritma Differential Evolution untuk Desain Optimal Load Frequency Control pada Pembangkit Listrik Tenaga Hibrid Angin dan Diesel,” J. Teknol. Inf. dan Ilmu Komput., vol. 5, no. 5, p. 511, 2018, doi: 10.25126/jtiik.201855430.[10]I. Fister, D. Fister, and X. S. Yang, “A hybrid bat algorithm,” Elektroteh. Vestnik/Electrotechnical Rev., vol. 80, no. 1–2, pp. 1–7, 2013.[11]M. Ali and M. Ulum;, “Kontrol Frekuensi Wind-Diesel Menggunakan Hibrid Kontroller PID-BA-ANFIS,” J. Elektro, vol. 5, no. 1, pp. 332–340, 2020.[12]M. Ali, T. Fahmi, D. W. Khaidir, and H. Nurohmah, “Optimizing Single Axis Tracking for Bat Algorithm-based Solar Cell,” J. FESPE, vol. 2, no. 2, pp. 1–5, 2020.[13]S. N. Z. Ahmmad and F. Muchtar, “A review on applications of optimization using bat algorithm,” Int. J. Adv. Trends Comput. Sci. Eng., vol. 9, no. 1.1 Special Issue, pp. 212–219, 2020, doi: 10.30534/ijatcse/2020/3791.12020.[14]M. Ali, A. Raikhani, B. Budiman, and H. Sopian, “Algoritma Persaingan Imperialis Sebagai Optimasi Kontroler PID dan ANFIS Pada Mesin Sinkron Magnet Permanen,” JEEE-U (Journal Electr. Electron. Eng., vol. 3, no. 1, pp. 57–81, 2019, doi: 10.21070/jeee-u.v3i1.2023.[15]M. Ali, I. Umami, and H. Sopian, “Particle Swarm Optimization (PSO) Sebagai Tuning PID Kontroler Untuk Kecepatan Motor DC,” J. Intake, vol. 7, no. 1, pp. 10–20, 2016, [Online]. Available: http://ejournal.undar.ac.id/index.php/intake/article/view/382.[16]M. Ali, H. Nurohmah, Budiman, J. Suharsono, H. Suyono, and M. A. Muslim, “Optimization on PID and ANFIS Controller on Dual Axis Tracking for Photovoltaic Based on Firefly Algorithm,” in ICEEIE 2019 - International Conference on Electrical, Electronics and Information Engineering: Emerging Innovative Technology for Sustainable Future, 2019, pp. 53–57, doi: 10.1109/ICEEIE47180.2019.8981428.DAFTAR TABELTabel 1. Nilai Sistem Kendali46 Tabel 2. Hasil Pitch Angel46Tabel 3. Hasil Torsi Mekanik46Tabel 4. Hasil Tegangan 46Tabel 1. Nilai Sistem Kendali185039012319000Tabel 2 Hasil Pitch Angle1894205190500Tabel 3. Hasil Torsi Mekanik187706013398500Tabel 4. Hasil Tegangan192341513970000DAFTAR GAMBARFigure 1. Kincir Angin Dengan 3 Sudut48Figure 2. Diagram Alir Algoritma Kelelawar Standar (BA) 48Figure 3. Blok Diagram PID Controller48Figure 4. Parameter Wind Turbine 49Figure 5. Wind Turbine System49Figure 6. Source Blok Parameters Speed49Figure 7. Hasil Simulasi Kecepatan Angin 50Figure 8. Hasil Simulasi Pitch Angel50Figure 9. Hasil Simulasi Torsi 50Figure 10. Hasil Simulasi Tegangan512346325-30016200Figure 1. Kincir Angin Dengan 3 Sudut233997513081000Figure 2. Diagram Alir Algoritma Kelelawar Standar (BA)199129712573000Figure 3. Blok Diagram PID Controller2303145-43751500Figure 4. Parameter Wind TurbineFigure 5. Wind Turbine SystemFigure 6. Source Blok Parameters Speed2153920-14732000Figure 7. Hasil Simulasi Kecepatan AnginFigure 8. Hasil Simulasi Pitch Angel216281021197800Figure 9. Hasil Simulasi TorsiFigure 10. 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