A Local Energy Transaction Strategy for Networked Microgrids Under Coalitional Game Theory

With the large-scale application of microgrid technology in the power system, a large number of single microgrid independent operation mode is not conducive to improving the economic benefits of microgrid, but will also harm the safe operation of the power system. Therefore, in this paper, a coalition-game-theory-based local energy transaction strategy is developed to solve the above problems. Firstly, the traditional model of microgrid in grid-connected mode and the coalitional transaction model are analyzed and established. Moreover, a typical matching method and the Shapley value are applied to calculate and allocate the utility of each valid coalition. And the optimal partition in the network is found by using coalition merge and split operations, a coalition-game-theory-based local energy transaction algorithm is proposed. Compared with the traditional operation mode, the simulation results show that the power transaction scheduling algorithm can effectively promote the cooperative transaction between microgrid, reduce the energy transmission loss, improve the individual utility of microgrid, and help maintain the coalition stability.