A novel method for optimizing distributed generation in distribution networks using the game theory

Publication Type:
Conference Proceeding
Citation:
2017 20th International Conference on Electrical Machines and Systems, ICEMS 2017, 2017
Issue Date:
2017-10-02
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© 2017 IEEE. In this paper, a novel method is presented to optimize distributed generation (DG) in distribution networks. The suggested method shows how DGs should change their sizes and places, if it is necessary, to improve the voltage profile and total power loss of distribution networks. For this purpose, game theory is applied to model the optimization problem. At the first step, an appropriate game based on the Nash equilibrium is suggested. Using the specific features of game theory, the procedure of decision making in the operator centers of distribution grids is considered. Then, the optimization problem is solved by finding Nash equilibrium point. To solve the Nash equilibrium, a specific kind of genetic algorithm (GA) called Nash GA is applied.
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