Smart control and management for a renewable energy based stand-alone hybrid system

This paper addresses the smart management and control of an independent hybrid system based on renewable energies. The suggested system comprises a photovoltaic system (PVS), a wind energy conversion system (WECS), a battery storage system (BSS), and electronic power devices that are controlled to enhance the efficiency of the generated energy. Regarding the load side, the system comprises AC loads, DC loads, and a water pump. An Adaptive Neuro-Fuzzy Inference System (ANFIS)-based MPPT technique is suggested to enhance the efficiency of the PVS and WECS. This technology provided good performance compared with the Perturb and Observe (P&O) algorithm and MPPT-based fuzzy logic controller (FLC). The use of the ANFIS-PI proposed to control the bidirectional converter accomplished voltage stabilization for the DC bus. This work also came with a fuzzy logic-based algorithm to manage the load side that depends on battery charge ratio, solar radiation, and wind speed. According to results obtained in the MATLAB/Simulink environment, the proposed technologies were found to have performed well. The goal we were also pursuing was achieved through the full use of the energy generated by the proposed algorithm. The proposed study holds great potential for remote regions.