Multi-Time-Scale Optimal Scheduling of Integrated Energy System Considering Demand Response

Abstract

Large-scale new energy access brings certain pressure to the scheduling and operation of the integrated energy system (IES), which will affect the safety and reliability of the system. To address this issue, this paper proposes to deeply excavate the demand response (DR) capability of loads to participate in the scheduling and operation of IES. Firstly, according to the inertia effect of heat load in IES, a multi-time-scale scheduling strategy considering the DR of electric and heat load is proposed, which includes three stages: day-ahead, intra-day upper layer, and intra-day lower layer. Secondly, an optimal scheduling model of IES is established with the aim of minimizing the total operating cost of IES. Among them, the day-ahead stage comprehensively considers the electro-thermal DR to formulate the output plan of the energy supply equipment. The intra-day stage is divided into two time scales: the long-term upper layer and the short-term lower layer to adjust the output of electric and heat energy supply equipment layer by layer to realize the real-time economic operation of IES. Finally, the feasibility of the proposed multi-time-scale scheduling strategy is verified through the case study. The results indicate that the multi-time-scale optimal scheduling, taking into account the DR of electric and heat loads, can improve the accommodation capacity of new energy while ensuring the economic operation of the system.