A Novel MPPT Control of photovoltaic system using FLC algorithm

This paper proposes a novel maximum power point tracking (MPPT) using a fuzzy logic control (FLC) algorithm for robust in environment changing. The power available at the output of photovoltaic (PV) cell keeps changing with radiation and temperature because solar cell exhibits a nonlinear current-voltage characteristic. So its maximum power point (MPP) of PV cells varies with radiation and temperature. MPPT methods are used in PV systems to make full utilization of PV array output power which depends on radiation and temperature. Conventional MPPT controller such as constant voltage (CV), perturbation and observation (PO) and incremental conductance (IC) are researched. But these controllers have the problem that is failure to MPP with environment changing. The proposed FLC controller is based the fuzzy control algorithm and able to robust control with environment changing. Also the PV systems applied FLC controller is modeled by PSIM and the response characteristics of FLC method according to the environment variation is analyzed through comparison with performance of conventional methods. The validity of this controller is proved through response results.