Low Carbon Robust Optimization Operation Strategy for Multi-Prosumers Based on Electricity and Heat Distributed Trading Model

Virtual power plants, integrated energy microgrids, and other forms of prosumers have become an inevitable trend for sustainable energy development to realize efficient energy use. In this paper, a Nash bargaining model of prosumers considering carbon trading and robust optimization is proposed. First, under the carbon trading mechanism, an integrated energy dispatch model based on electric energy and thermal energy is established. Then, a robust scheduling strategy is proposed considering the stochastic nature of load and new energy. Second, based on the Nash bargaining theory, a multi-prosumer cooperative game model is constructed to realize the cooperative operation of multi-prosumers. Finally, the model is separated into two subproblems and solved distributedly using alternating direction multiplication method (ADMM). The validity and rationality of the proposed model are verified by arithmetic examples.