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| Energy Management Based on Hierarchical Structure of an Isolated Microgrid Using Grasshoppers Optimization Algorithm |
Ahmed H. Elmetwaly, Azza A. Eldessouky, Abdelhay A. Sallam
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Abstract:
Microgrids (MGs) have been widely spreaded for its many benefits as they improve reliability and resilience of electrical grids, manage the addition of distributed energy resources (DERs) like wind and solar photovoltaic (PV) generation to reduce fossil fuel emissions, and provide electricity in areas not served. This study presents an adaptive scheme based on hierarchical system structure for energy management for an isolating MG. The proposed energy management system has been developed to manage the utilization of power among the hybrid energy resources, battery energy storage system (BESS) and Fuel cell (FC) based on Grasshoppers optimization algorithm (GOA) with an objective function including maintenance and emission cost for Diesel generator (DG) and microturbine generator (MT). Case study is presented including different loads. The optimization is aimed at minimizing the cost function of the system while constraining it to meet the customer demand and safety of the systems.
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