Comparative Study Between Intelligent MPPTs for PV System: PSO and ANFIS using Subtractive Clustering Partition


Nadjib Mekhaznia
Laboratory of Advanced Electronics and Telecommunications, University of Bordj Bou Arreridj
Riad Khenfer
Electrotechnical Engineering Laboratory, University of Bordj Bou Arreridj


The photovoltaic system is highly dependent on weather conditions. Under these conditions, conventional MPPTs have shown their limits in giving the maximum power point. Focusing on the above-mentioned problem, in this paper, we designed two intelligent MPPTs based on Particle Swarm Optimizer (PSO) and Adaptive Neuro-Fuzzy Inference System (ANFIS) using subtractive clustering partition (SCP). ANFIS using SCP has significantly improved load voltage response by suppressing oscillations during rise time and has better performance than PSO-based MPPT.

February 5, 2024