Matching Theory for Optimal Power Exchange in Distribution Networks

Abstract

Micro-grid distribution systems which use distributed energy sources are believed to be the heart of smart grid technology. while recent researches focus on communication and control aspects of microgrids this paper investigates power exchange efficiency. Distributed generations are the most efficient practice to minimize power losses. This paper presents an application of Gale-Shapely matching theory in distribution networks consist of a number of microgrids and the main grid. The proposed theory groups the agents (microgrids and main grid) into sellers with surplus energy and buyers with insufficient energy. The matching strategy matches the sellers and buyers inside the network. This optimal selection of participants makes the reduction in power losses during power exchange in the system. This novel theory enables the microgrids in the distributed networks to self adapt to changes in the surroundings such as changes in the power needs of the microgrids. Simulation results are compared with the conventional method to check. Simulation results show the proposed theory yields a considerable reduction in power losses in the distributed networks. © 2021 IEEE.