Abstract
In this paper, the energy management (EM), and optimization of a microgrid including photovoltaic, wind turbine, micro-turbine, fuel cell, and battery energy storage is implemented considering demand response (DR). The optimization of the microgrid is performed with the presentation of a three-dimensional objective function including minimizing the costs of energy loss (ELC), operation (OC), and emission (EC) satisfying the operational and components constraints. In this research, an improved transient search optimizer based on golden sine strategy (MOTSOGS) via fuzzy decision-making is used to optimize the position and size of the microgrid components. The outcomes cleared that the energy resources integrated with the energy storage using the proposed optimizer are capable of supplying the microgrid load in conditions without and with DR. Also, the obtained results demonstrated that considering DR, reduced ELC, OM, and EC by 10.80%, 9.68%, and 8.01%, respectively compared to the case without DR. Moreover, the superiority of the MOTSOGS is confirmed to solve the problem compared with MOPSO.
Keywords Microgrid, Energy Management, Operation and Emission Cost, Golden Sine Strategy, Multi-objective Improved Transient Search Optimizer, Fuzzy Decision-making
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Energy Proceedings