Evaluation of Microgrid Energy Management System in Normal and Abnormal Operation Conditions

Microgrids (MGs) offer a promising solution for seamlessly integrating distributed energy resources (DERs) and delivering a dependable and efficient electricity supply through an optimal energy management system (EMS). Microgrid EMS entails the intricate coordination of various DERs and loads to ensure optimal performance and stability. This paper provides researchers with in-depth insights into an energy management system scheduling for community MGs. The strategy aims to accomplish several objectives, including cost minimization (equivalent to maximization profit) and avoiding emissions while technical constraints are satisfied. The case study is based on the ongoing renewablebased energy system for Lombok Island, Indonesia. To provide Pareto optimal solutions for decision-makers the multi-objective particle swarm optimization (MPSO) algorithm is utilized to solve the optimization problem. The effectiveness of the proposed strategy is assessed by considering various normal and abnormal operating scenarios.