Collaborative optimal scheduling of integrated energy system considering carbon trading

Abstract

In order to further realize the zero carbon transition of the energy system, this paper proposes a robust optimal scheduling model for transmission and distribution collaboration considering carbon trading. In this model, the multi energy equipment in the integrated energy system is modeled for transmission and distribution coordination. The long-distance power transmission network is an electricity gas coupling network, and the energy hub is the park distribution network. The nonconvex dynamic power flow network is relaxed by using the method of second-order cone programming, and the ADMM method is used to ensure that the optimal energy coordination is obtained between regions under the limited information exchange, so as to ensure user privacy. The validity of the scheduling model is proved by the case study.