Micro grid utilization by optimal allocation of dispersed generation resources: Game theory coalition formulation strategy, and uncertainty in renewable energy resources

Today, the growth of micro grids in electricity networks has increased dramatically due to the technical, economic and environmental benefits of dispersed power generation resources. Therefore, the necessity of applying efficient methods to improve the performance of micro grids as a part of the power industry is felt more and more day by day. Micro grids are usually installed at locations where access to the macro station is not costly due to the far distance and the existence of losses. Therefore, in this paper, first, the game theoretic coalition formulation strategy was used for the micro grids, and then, to improve its results. The optimal allocation of dispersed generation resources using CRPSO algorithm based on the game theoretic coalition formulation strategy was proposed to reduce the exchange of power between the macro station and micro grids. The main motive for presenting this research is the combination of the advantages of coalition game, dispersed generation resources, and CRPSO optimization algorithm. The advantages have caused the load of the micro grids to be implemented as much as possible through the exchanges between the micro grids and the cost of utilization and power supply of the loads to be minimized. Uncertainties in wind speed and solar radiation flux are also considered for the purpose of applying the random property of the dispersed generation resources. The simulation results on the ۳۳rd IEEE standard system in different scenarios indicate the desired performance of the proposed method.