Abstract
One of the important approaches in demand-side management is shifting energy usage from on-peak time to the other periods considering the financial conditions, which is known as a demand response program. To reduce the environmental concerns, energy policymakers have proposed to use renewable energy resources as clean energy and alternative source to fossil fuels. The wind turbine and photovoltaic panel are used as renewable sources of the microgrid (MG). Demand response programs, including the time of use and critical peak price, are employed by the MG. The profit of the operator of MG from selling the electricity and the produced pollutant gasses of all energy sources are the considered objective functions of the demand-side management problem. The multi-objective ant lion optimizer is used to optimize the indices of the MG and create the optimal Pareto-front. After applying the multi-objective optimization algorithm, the Fuzzy method is used to select the best particle equal to the optimal operational schedule of energy sources and the load pattern of the MG. Ultimately, the proposed method is applied to optimize a sample MG. Results show that the proposed method improves the grid efficiency by optimizing the renewable units and battery.
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