Two Stage Robust Optimization Method for the Whole-Process Power System Restoration Considering Wind Power Uncertainty

The proportion of wind power in power systems will be further improved in the process of low carbon transformation in China. It is of great significance to study the restoration control problem under the new situation to improve the security of power systems. Aiming at the problem of power system restoration decision optimization under the background of wind power integration, a two-stage robust optimization model considering wind power uncertainty was established for the whole power system restoration process in this paper. In the first stage, the node-importance index, load restoration amount and wind power fluctuation scenario set were considered to make a decision on power system component restoration sequence. In the second stage, two-level objectives were included. The outer-level objective was to maximum the impact of wind power fluctuation on load restoration. The inner-level objective was to maximum load restoration in the worst wind power fluctuation scenario. The model of the second stage was transformed into a single-level optimization model by the duality principle. The interval uncertainty set was used to depict the temporal and spatial uncertainty of wind power. The two-stage optimization problem was solved by column-and-constraint generation algorithm, and the heuristic method was used to accelerate the first stage solving process. Finally, the robustness and practicability of the proposed method are verified by the New England 39-bus system and a real power system. © 2022 Chinese Machine Press. All rights reserved.