Microgrid utilization by optimal allocation of DG units: Game theory coalition formulation strategy and uncertainty in renewable energy resources

Abstract

The continuous growth of electricity demands microgrid distribution networks that use distributed energy sources. Therefore, the necessity for applying efficient methods to improve the performance of microgrids as a part of the power industry is felt more and more day by day. Microgrids are usually installed at locations where access to the power grid is not economical due to the far distance and losses. In this paper, the optimal allocation of distributed generation (DG) units using the craziness-based particle swarm optimization (CRPSO) algorithm based on the game theoretic formulation strategy was proposed to reduce the exchange of power between the macrostation and microgrids. The main motive for presenting this research is the combination of the advantages of coalition game theory, DG units and the CRPSO optimization algorithm. The advantages have caused the load of the microgrids to be implemented as much as possible through the exchanges between the microgrids and the cost of utilization and power supply of the loads minimized. Uncertainties in wind speed and solar radiation flux are also considered for the purpose of applying the random property of the distributed generation resources. The simulation results on the 33rd IEEE standard system in different scenarios indicate the desired performance of the proposed method.