Two-stage Optimal Operation of Integrated Energy System Considering Multiple Uncertainties and Integrated Demand Response

Abstract Integrated energy system (IES) is considered an effective way to alleviate energy supply pressure and improve energy efficiency, which has attracted considerable attentions worldwide. However, in existing studies, the coordination of uncertainty addressing and demand responses over different scheduling stages have not been fully considered in IES operation. Based on these considerations, a two-stage optimal operation method considering multiple uncertainties and integrated demand response is proposed for a community integrated energy system (CIES). First, given the CIES structure, various energy equipment are modeled and analyzed from the perspective of energy conversion and storage. Moreover, a generic optimal operation framework and model that comprises day-ahead and intraday stages is developed for a two-stage CIES scheduling. While the day-ahead stage introduces the time-shifted demand response (DR) to establish a robust optimization operation model, the intraday stage performs a stochastic scheduling with the adoption of replaced DR. Finally, a case study is carried out to demonstrate the operation model, and simulation results show that the proposed method can give play to the complementary advantages of multi energy sources and effectively promote the energy supply and demand balance in the presence of multiple uncertainties and demand responses.