Sizing of a Photovoltaic System with Battery on the Basis of the Multi-Agent Adaptive Fuzzy Neuronet

This paper presents a method for modeling, sizing and cost analysis of a photovoltaic system with battery on the basis of the multi-agent adaptive fuzzy neuronet. The goal of this research is to find the best configuration of the system and the optimal sizing coefficient of a photovoltaic system on the basis of the multi-agent adaptive fuzzy neuronet. The simulation results show that the effectiveness of the proposed method is better than the genetic algorithm in sizing of a photovoltaic system with battery.