Dynamic Behavior Analysis of ANFIS Based MPPT Controller for Standalone Photovoltaic Systems

Abstract

This paper proposes dynamic behavior analysis of Adaptive Neuro Fuzzy Inference System (ANFIS) based Maximum Power Point Tracking (MPPT) controller for a standalone photovoltaic (PV) system under various weather conditions such as different level of irradiance and temperature. Also, the dynamic behavior analysis of the system has been done by using different MPPT techniques which are ANFIS, Perturb and Observation (P&O) and Fuzzy Logic Controller (FLC). Based upon the results, the ANFIS based MPPT controller can track the maximum power point faster than other suggested controllers under various weather circumstances. It also observed that the intelligent based MPPT algorithms have lower rippling in power compared with conventional P&O algorithm. In addition, the dynamic behavior analysis of proposed MPPT controller shows that the system could stay operating at MPP during changes occurring to the load by changing PV voltage and current to extract the desired maximum power.