On the fuzzy modeling based estimation of maximum power generation from photovoltaic module

In this paper, the fuzzy modeling technique is used to estimate the photovoltaic (PV) maximum power generation. The equivalent circuit parameters of a PV module essentially depend on solar irradiation and temperature. This dependence on environmental factors is investigated and it is shown that it is a nonlinear relationship that cannot be easily expressed by any analytical equation. Therefore, the fuzzy modeling technique is utilized to overcome these difficulties. The Gustafson-Kessel algorithm is used to obtain clusters of the dataset which produces the fuzzy rules to identify the nonlinear photovoltaic maximum power generation and the irradiation. The developed architectures can approximate the maximum power and predict the irradiance parameter. To demonstrate the feasibility and the performance of the proposed architectures, several simulation results have been presented.