Sizing of Hybrid PV/Battery/Wind/Diesel Microgrid System Using an Improved Decomposition Multi-Objective Evolutionary Algorithm Considering Uncertainties and Battery Degradation

In this paper, a small-scale PV/Wind/Diesel Hybrid Microgrid System (HMS) for the city of Yanbu, Saudi Arabia is optimally designed, considering uncertainties renewable energy resources and battery degradation. The optimization problem formulated as multi-objective one with two objective functions: Loss Power Supply Probability (LPSP) Cost Electricity (COE). An Improved Decomposition Multi-Objective Evolutionary Algorithm (IMOEAD) proposed applied to solve problem. approach, different decomposition schemes are combined effectively achieve better results than classical MOEA/D approach. Twelve case studies investigated based on scenarios numbers houses (5 10 houses). Each time, suggested approach produced set solutions that formed Pareto front (PF). Considering variety parameters, optimal compromise option can be selected by designer from PF.