OPTIMAL OPERATION OF STANDALONE HYBRID SYSTEM CONTAINING SOLAR AND WIND GENERATING UNITS WITH THE HELP OF BOOST AND BIDIRECTIONAL CONVERTERS OPERATED BY ANFIS CONTROLLERS

This paper proposes an Adaptive Neuro Fuzzy Inference System (ANFIS) Controller based Boost Converter for obtaining optimal generation from renewable energy sources like Solar and Wind units connected to common DC Bus. And also proposes Bi-directional DC-DC Converter controlled by ANFIS controller Between DC Bus and Battery Storage System. The PV-Wind source is equipped with unidirectional boost converter whereas, the battery storage system is connected to the DC Bus system with a Bi-directional DC-DC converter. The main novelty of this research is the ANFIS based DC-DC Bi-directional Converter which charges and discharges into the DC bus based on the total generation and load demand. The ANFIS controller based optimal operation is provided in the PV and wind energy conversion system (WECS) to grasp the maximum available power for the different irradiance and wind velocity conditions. A 500 W PV system and a 500 W Permanent magnet synchronous generator (PMSG) based WECS is implemented for its simplicity and high efficiency. The proposed control topology is designed and tested using MATLAB/Simulink