Optimizing Microgrid Energy Management: Metaheuristic versus Conventional Techniques

Widespread deployment of renewable energy resources (RES) is presently taking place to satisfy the escalating energy demands, alleviate environmental pollution, and attain socioeconomic advantages that promote sustainable development. The feasibility of implementing microgrids (MG) is created by the integration of such distributed energy sources into the utility grid. The intermittent nature of RESs incorporated with MGs is, nevertheless, a result of their stochastic behavior. Thus, in order to guarantee a seamless transfer of MG power to sensitive loads and the primary grid, a suitable control strategy is indispensable. This paper undertakes an analysis of the application of meta-heuristic and conventional techniques in resolving various challenges related to distribution network Energy Management Systems (EMS) and MGs, following a thorough examination of MGs, their components, and varieties. In order to ensure that the reader comprehends the significance of these methods, the article provides a variety of case studies illustrating their application to a range of issues.