Volume 12, Issue 1 (4-2022)                   JEM 2022, 12(1): 2-15 | Back to browse issues page

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Alilou M, Tousi B, Shayeghi H. Multi-objective Optimization of Customers’ Load and Local Energy Resources to Increase Profitability and Decrease Pollution of Smart Microgrid. JEM. 2022; 12 (1) :2-15
URL: http://energy.kashanu.ac.ir/article-1-1468-en.html
Department of Electrical Engineering, Urmia University
Abstract:   (1139 Views)
In this study, a new multi-objective method is proposed to manage optimally local energy resources and customers’ load in a microgrid in the presence of demand-response programs. The wind turbine and photovoltaic panel are the renewable energy sources of the microgrid. The time of use and the critical peak pricing programs are also used to improve the consumption pattern of customers. Moreover, consumers try to use electrical energy when renewable sources are available. Maximizing the profit of microgrid and minimizing the pollutant gases of the microgrid are the objective functions in the demand side of problem management. The multi-objective ant lion optimization algorithm is used to optimize the indices of the microgrid and create the Pareto front. Then, the fuzzy method is utilized to select the best particle equal to the optimal management plan of the microgrid. Ultimately, the proposed method is evaluated in a sample microgrid. The results demonstrate the high efficiency of the proposed method in improving the performance of the microgrid by the optimal managing of the local energy sources and customers’ load. The proposed method of energy management increases the profitability of the distribution company and decreases the environmental pollution of the microgrid.
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Type of Study: Research | Subject: Electrical Engineering
Received: 2020/05/15 | Revised: 2022/06/15 | Accepted: 2021/01/14 | Published: 2022/03/1

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