Electrical Power Engineering
DOI: 10.21070/jeeeu.v6i1.1624
Published: 2022-04-26

Pitch 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

Darul Ulum University of Jombang
Indonesia Bio
Darul Ulum University of Jombang
Indonesia Bio
Components Bat Algorithm (BA) Pitch Angles Wind Turbine

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.

References

  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:
  5. http://sentia.polinema.ac.id/index.php/SENTIA2015/article/view/186.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. 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.