Article Per Year (5 Year)
p-Index From 2021 - 2026
0.562
P-Index
This Author published in this journals
All Journal Jurnal EECCIS Jurnal Ilmiah Dinamika Rekayasa (DINAREK) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Journal of Telecommunication, Electronics and Control Engineering (JTECE)
Gunawan Wibisono
Institut Teknologi Telkom Purwokerto
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Jurnal EECCIS

 1 
MPPT Menggunakan Metode Hibrid JST dan Algoritma Genetika Untuk Sistem Photovoltaic Gunawan Wibisono; Sholeh Hadi Pramono; Muhammad Aziz Muslim
Jurnal EECCIS Vol 8, No 2 (2014)
Publisher : Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (239.773 KB)

Abstract

Maximum Power Point Tracking is a method to track power point of an energy source in order to generate maximum power. One of the MPPT method for photovoltaic system is fractional open voltage MPPT. In this paper the fractional open voltage MPPT is modified by using artificial neural network trained using genetic algorithm. Artificial neural networks are successfully trained by using genetic algorithm. The best mean squared error (MSE) value obtained is 0.000453. The network tested using test data, yielding average error = 0.00949509 and MSE = 0.00012814. The neural network-based MPPT can improve the fractional open voltage MPPT by 4.79%.Index Terms---Genetic Algorithm, MPPT, Neural Network, Photovoltaic
Co-Authors Ahmad Khairol Maulidi Fikra Titan Syifa Firdaus Fathurrohman Herryawan Pujiharsono Jhon Bryan Tarihoran Muhammad Aziz Muslim Sigit Pramono YULIAN ZETTA MAULANA