An asymmetric Nash bargaining based day-ahead distributed energy sharing strategy for integrated energy service providers

Abstract

Integrated energy systems are gradually promoted and constructed. As energy hubs, the integrated energy systems operated by energy service providers couple different energy systems to realize flexible conversion of multiple energy, promote the renewable energy consumption and reduce carbon emissions. To promote cooperation among service providers of different scales and fully exploit the advantages of integrated energy systems in economic and clean energy utilization, an asymmetric Nash bargaining based day-ahead energy sharing strategy for integrated energy service providers is proposed in this paper. The day-ahead energy sharing problem is decomposed into energy sharing scheme formulation problem and energy sharing benefits settlement problem. To meet the privacy protection requirements of service providers, these problems are addressed by parallel distributed optimization algorithm. In sharing benefits settlement problem, a non-linear mapping function is proposed to calculate bargaining weights of service providers and distribute sharing benefits. Finally, simulation results show that the energy sharing strategy can maximize the benefits of each integrated service provider and the sharing alliance of them. With the fair distribution of sharing benefits, the sharing strategy incentivizes the active participation of service providers in sharing. The simulation results also show that energy sharing and demand response can further make full use of renewable energy, reduce the dependence on coal-fired power. The carbon emissions in the process of energy consumption are effectively reduced.