Distributed Robust Optimal Scheduling of Integrated Energy System Considering Demand Response

With the rapid development of the energy internet, the coupling of different forms of energy is continuously strengthened. Integrated energy system (IES) provides a new way for wind power consumption. This paper introduces integrated demand response (IDR) into the demand side of IES, excavates the demand response potential of load side from two aspects of time shift and energy replacement, and smooths the load curve. At the same time, the two-stage distributed robust optimization model based on Wasserstein distance is used to deal with the uncertainty of wind power output. Aiming at minimizing system operation cost, the optimal unit scheduling strategy under the worst probability distribution of wind power output prediction error is found. Finally, the dual theory and affine strategy are used to transform the model into a mixed integer linear programming problem, which is easy to solve. Numerical examples are used to verify the effectiveness of the proposed model.