Indian Journal of Science and Technology
Year: 2015, Volume: 8, Issue: 10, Pages: 982–991
Alireza Rezvani 1 *, Maziar Izadbakhsh1 , Majid Gandomkar2 and Saeed Vafaei 2
1 Young Researchers and Elite Club, Saveh Branch, Islamic Azad University, Saveh, Iran; [email protected]
2 Department of Electrical Engineering, Saveh Branch, Islamic Azad University, Saveh, Iran
Nowadays, it has been a developing consideration towards utilization of photovoltaic (PV) system. This paper proposes the Adaptive Neuro-Fuzzy Inference System (ANFIS) and an integrated offline Genetic Algorithm (GA) to track the PV power based on different circumstances due to the various climate changes. Training data in ANFIS are optimized by GA. The proposed controller is accomplished and studied applying Matlab/Simulink software. The results show minimal error of Maximum Power Point (MPP), Optimal Voltage (Vmpp ) and superior capability of the suggested method in MPP tracking.
Keywords: ANFIS, GA, MPPT, Photovoltaic System
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