Supervisor control and optimization of multi-sources pumping system with battery storage

In this paper, we propose an energy management for the photovoltaic (PV) system (main source) and wind power system (secondary source) associated with battery storage, to adapt the production of renewable sources as required load. With the increased use of this application, more attention has been paid to their optimum utilization. Many methods have been developed to determinate the maximum power point (MPP). To control the DC bus voltage, we apply field oriented control (FOC) strategy to induction motor (IM) supplied by a PV system. And to maximize the efficiency of the proposed PV pumping system, we apply three maximum power point tracking methods: the adaptive fuzzy logic controller (AFLC), the fuzzy logic controller (FLC) and the classical Perturb and Obsery (P&O). Different tests have been carried to prove the effectiveness of the proposed control system. A supervisor control for the hybrid power system based on a photovoltaic array, wind system, a battery bank, and a moto-pump is developed in this paper. The main objective is to meet the power load requirements through effective utilization of the batteries. Simulation results obtained under Matlab/Simulink and other results obtained by practice are presented. (C) 2016 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.