A Comprehensive Review of Control Strategies and Optimization Methods for Individual and Community Microgrids

Community Microgrid offers effective energy harvesting from distributed resources and efficient consumption by employing an management system (EMS). Therefore, the collaborative microgrids are essentially required to apply EMS, underlying operative control strategy in order provide system. An EMS is apt optimize operation of several points view. Optimal production planning, optimal demand-side management, fuel emission constraints, revenue trading spinning non-spinning reserve capacity can effectively be managed EMS. Consequently, importance optimization explicit microgrid applications. In this paper, most common strategies community with potential pros cons analyzed. Moreover, a comprehensive review single objective multi-objective methods performed considering practical technical uncertainty, intermittency renewable energies sources. The Pareto-optimal solution as popular approach investigated for advanced algorithms. Eventually, feature selection neural network-based clustering algorithms analyze set introduced.