An asymmetric fuzzy logic controller based MPPT algorithm for PV system

Renewable solar energy systems with photovoltaic modules convert solar thermal energy into electricity, making sunlight a viable renewable energy source. Sunlight is available in surplus amounts and can be replenished naturally. Conventional solar systems with advanced maximum power point tracking (MPPT) features cannot utilize all power supplied by the photovoltaic system due to nonlinear properties of the PV cell. Optimized control algorithms and powerful MPPT controllers are essential for efficient and organized solar energy systems. It has the significant advantage of utilizing all the power with minimum energy loss. Another advantage of using an MPPT controller is that it is very cost-effective. The main objective of this study is to compare various powerful technology-based techniques to implement MPPT control and to obtain a regulated production with better results. MPPT control algorithm has been used to maintain the PV array's route of greatest power with an effective and optimum output response. In order to assure a quick and precise MPPT algorithm and to extract the most energy and power possible from the PV array, an effective DC-DC Boost converter has been used. Maximum power-delivering mechanism for solar power systems has been analyzed. In this study; PI controller, fuzzy logic and Adaptive-Network Based Fuzzy Inference System (ANFIS) has been used for MPPT. The results of three algorithms has been compared which each other.