Optimal Energy Exchange in Micro-Grid Networks: Cooperative Game Approach

Distributed generations are one of the most efficient approaches to reduce energy losses. In fact, in a smart grid system, devices are decentralized and ensure connection to the power grid through different types of equipement transmit, which produces a considerable energy losses when power flows from one bus to another. This paper uses cooperative game theory to optimize the cooperation and the energy exchange in a distributed Microgrid network. The microgrid is formed from two groups: sellers having a surplus of energy and buyers willing to acquire energy to fulfil their demand. A matching strategy is proposed to match sellers and buyers inside the network in an optimal way. Simulation results show that the cooperation can decrease intensively the losses in the power grid.