Optimal Operation for Integrated Energy System on User Side Considering Demand Response

To accommodate distributed renewable energy and improve energy efficiency, it is necessary to develop the integrated energy system (IES). However, high construction costs and complex operation optimization are crucial obstacles to the development of IES on user side. The optimal operation of IES can excavate more flexibility for power system and reduce its operating costs through providing demand response (DR) services in the power market. Therefore, this paper proposes the operating models for equipment in IES considering DR and the optimization method to schedule the operation and DR capacity simultaneously in the power market. Then, the proposed nonconvex model is mathematically transformed into a solvable mixed integer linear programming (MILP) problem. Experimental results tested on a realistic IES indicate the effectiveness of the proposed model.