Management of Hybrid PV/Battery Stand-alone System under Partial Shading Conditions

Abstract

This paper proposes a Management Algorithm (MA) for a hybrid PV/battery stand-alone system. The main purpose is to ensure the ongoing availability of energy for supplying the load. Meanwhile, guarantee a maximum of stability during perturbations of production and Partial Shading (PS) conditions. The interfaced power electronic converters for the Photovoltaic Generator (PVG) and battery are controlled separately. To harvest the maximum power from the PVG and control the boost converter, a Hill Climbing-Particle Swarm optimization (HC-PSO) is used. A double PI control loop is designed to manage the bidirectional buck-boost converter interfacing the battery storage to the load side. The aim of this latter is to maintain the delivered power to the load under varying weather conditions. Simulations are performed using MATLAB/Simulink. Then, three cases are considered to be analyzed for assessing the consistency of the MA: (1) under standard conditions when the rated power is sufficient to charge the battery and supply the load; (2) under fast varying irradiance conditions and (3) under PS. The results confirm the reliability and effectiveness of the proposed MA in controlling stand-alone PV systems.