Multi-time scale optimal scheduling strategy of integrated energy system considering integrated demand response

To further tap the user-side adjustable load resources, improve the economic operation of the system, and reduce the impact of source-load power fluctuations, a multi-time scale optimal scheduling strategy for integrated energy systems considering integrated demand response is proposed. Firstly, a comprehensive demand response model is proposed. In the day-ahead stage, the power load considers the electricity price demand response and the heat load is divided into residential heating heat load and industrial heat load for demand response, respectively. In the intra-day stage, both power and heat load participate in the incentive demand response. At the same time, multi-time scale optimization can suppress source-load power fluctuation and reduce the impact of prediction error on the system. Finally, simulation experiments verify the effectiveness of the proposed method.