A Distributed Optimization Strategy for Multienergy Microgrids Considering Nash Bargaining

This paper investigates the problem of co-optimisation of Multi-energy Microgrids (ME-MGs) under the same distribution network. To this end, a distributed optimization strategy for ME-MGs based on Nash bargaining is proposed. Firstly, a multi-energy microgrid cluster model is established, and a demand response mechanism and a mobile edge computing system are introduced. Then, based on Nash bargaining theory, a distributed optimisation model of the multi-energy microgrid cluster is established. With the objective of maximising the benefits of the alliance between each multi-energy microgrid (ME-MG), the power trading volume between Microgrid operator (MGO) and Distribution network operator (DNO) and it between MGO are solved to obtain the power trading volume. With the objective of maximising the benefits of each ME-MG, the trading electrovalence between MGO is obtained. And the optimisation model is equated into two sub-problems of maximising social benefits and maximising payment benefits. to ensure that the cooperative benefits of the ME-MGs alliance can be fairly distributed among the alliance members. Finally, the alternating direction multiplier method (ADMM) is used to solve the constructed model. The results show that the proposed strategy can effectively improve the operational efficiency of each player.