Optimization of Hybrid PV/Wind/Battery/DG Microgrid Using MOALO: A Case Study in Djelfa, Algeria

Hybrid Renewable Energy Sources (HRES) integrated into microgrid (MG) are promising in providing energy supply and economically viable for current and future use. This paper proposes the optimal sizing of an HRES connected to the autonomous microgrid system consisting of Photovoltaic (PV), Wind Turbine (WT), Battery (BT), Diesel Generator (DG), and Inverter, meant to meet the energy demand of five residential housing units. The loss of power supply probability (LPSP) and the cost of energy (COE) are considered as objective functions. The objective of the proposed Multi-Objective Ant Lion Optimizer (MOALO) is to determine the optimal system configuration that includes design variables such as the number of PV panels WT and battery autonomy days in order to maintain high reliability and the lowest cost. MOALO is the latest nature-inspired metaheuristic optimization algorithm chosen because it is simple to construct and requires fewer control parameters. The MATLAB environment was used to program, simulate and optimize the HRES. This research demonstrated the proposed approach's superiority in creating a reliable and cost-effective microgrid.