Implementasi Labview Untuk Pemantauan Pemakaian Energi Listrik


Implementation of Labview for Monitoring Electrical Energy Usage


  • (1) * Muhammad Yusuf Yunus            State Polytechnic of Ujung Pandang  
            Indonesia

  • (2)  Marhatang Marhatang            State Polytechnic of Ujung Pandang  
            Indonesia

    (*) Corresponding Author

Abstract

In conventional electric measurement devices, measurements are made on the use of electrical energy as a whole where consumers can only see information on the results of the use of electrical energy by looking at the total power consumption amount indicated on the meter kWh meter. Based on the above problems, the author aims to raise the title "Design of Monitoring System of Electricity Energy Usage using LabVIEW". The LabVIEW program has the ability to measure, monitor and store data quickly and accurately. With this tool will be realized a design system monitoring the use of electrical energy in real time through the computer instead of kWH meter analog or digital. This concept is one of the energy management solutions that enable consumers to obtain statistical data on electrical energy consumption in detail. From the results of monitoring the use of loads, obtained very good results in monitoring the usage of energy, which in this case using household burden.

References

H. Koko, "Desain Smart Meter Untuk Memantau Dan Identifikasi Pemakaian Energi Listrik Pada Sektor Rumah Tangga Menggunakan Backpropagation Neural Network," ITS Surabaya, 2015.

S. Suryaningsih, "RANCANG BANGUN ALAT PEMANTAU PENGGUNAAN ENERGI LISTRIK RUMAH TANGGA BERBASIS INTERNET," presented at the SEMINAR NASIONAL FISIKA 2016 UNJ, 2016. DOI: https://doi.org/10.21009/0305020617

I. D. Utomo, "PROSES PENGAMBILAN DATA ENERGI (KWH) METER ELEKTRONIK PADA GARDUINDUK 150 KV PT. PLN (PERSERO) P3BJB REGION JAWA TENGAH DAN DIY UNITPELAYANAN TRANSMISI SEMARANG," presented at the Makalah Seminar Kerja Praktek, 2012.

I. Ismujianto and I. Isdawimah, "DESAIN AKUISISI DATA KUALITAS DAYA LISTRIK," Poli-Teknologi, vol. 15, 2017.

J. Roos, I. Lane, E. Botha, and G. P. Hancke, "Using neural networks for non-intrusive monitoring of industrial electrical loads," in Instrumentation and Measurement Technology Conference, 1994. IMTC/94. Conference Proceedings. 10th Anniversary. Advanced Technologies in I & M., 1994 IEEE, 1994, pp. 1115-1118.

Y.-Y. Hong and J.-H. Chou, "Nonintrusive energy monitoring for microgrids using hybrid self-organizing feature-mapping networks," Energies, vol. 5, pp. 2578-2593, 2012. DOI: https://doi.org/10.3390/en5072578

Picture in here are illustration from public domain image (License) or provided by the author, as part of their works
Published
2018-04-26
 
Section
Electrical Power Engineering