Robust Day-Ahead Scheduling of Source-Network-Load-Storage Flexible Resources for Wind Power Accommodation

In view of the large-scale development of wind power around the world, the coordination scheduling of source-network-load-storage (SNLS) flexible resources is beneficial to utilize wind power. Firstly, considering uncertainties of both wind power and price-based demand response (PDR), this paper constructs a day-ahead scheduling model of SNLS flexible resources based on robust optimization framework. Secondly, the constructed model considers the operation characteristics of SNLS flexible resources, with the minimum total cost as the optimization goal, and considers life constraints on battery energy storage (BES) and congestion management on transmission lines. After linearization, the model constructed in this paper is formulated as a mixed-integer linear programming (MILP) problem. Finally, numerical test is carried out on the modified version of the IEEE 30-bus test system. Through comparative analysis, the test results verify the feasibility and effectiveness of the proposed method for scheduling SNLS flexible resources to accommodate wind power.