Distributed Low-carbon Optimal Operation Strategy of Multi-microgrids Integrated Energy System Based on Nash Bargaining

Abstract

In view of the problems that the current multi-microgrids energy trading does not fully consider the interaction between the energy supply side and the user side, and that with the comprehensive development of the carbon trading market, the interest interaction relationship of multi-agent transactions under the carbon trading mechanism needs to be deeply explored, this paper proposes a distributed low-carbon optimal operation strategy of multi-microgrids integrated energy system based on Nash bargaining. Firstly, considering the interests of the microgrid operators and users in the energy transaction of the multi-microgrids integrated energy system, the cooperative model under the carbon trading mechanism for multiple microgrid operators and load aggregators which represent the interests of the entire multi-microgrids users is established based on the Nash bargaining. Secondly, on the basis of ensuring that the proposed Nash bargaining model can maximize the social benefits, the original problem is transformed into two easier-to-solve sub-problems. The alternating direction method of multipliers is used to successively solve the two sub-problems in a distributed manner. The game equilibrium realizes on the basis of exchanging the limited information so that the information privacy of every transaction subject can be fully ensured. Finally, the effectiveness of the proposed method is demonstrated in reducing carbon emissions and improving individual and social benefits through the comparison of different cases. The comprehensive reasons for multi-agent cooperative operation to reduce carbon emissions under the carbon trading mechanism is deeply analyzed.