Robust Optimal Scheduling Strategy Based on Feasible Region of Cooperative Interaction Between Flexible Resources and Wind Power

The randomness and volatility of wind power output after its high proportion is connected to the power grid increases the difficulty of decision-making for safe dispatching operation in the power grid. In order to promote wind power consumption and reduce the impact of wind power uncertainty on the stable operation of power grid, this paper proposes a robust optimal scheduling strategy based on flexible resources and wind power cooperative interaction feasible region. Firstly, the energy storage and electric vehicles are used as the adjustable flexible resource set to build the feasible region of the wind power fluctuation range and the energy storage and electric vehicle power regulation range, and provide guidance for the control strategy according to the current operating state of the system; Secondly, based on the feasible region, a two-stage robust optimization model considering the optimal wind power consumption capacity and scheduling cost is proposed, which fully exploits the regulatory capacity of flexible resources and optimizes the cooperative scheduling strategy of flexible resources and wind power to deal with the uncertain factors in system scheduling; Finally, according to the feasible region shape index, the scheduling strategy is modified to further improve the wind power resource absorptive capacity. The effectiveness of the proposed model and method is verified by an example of IEEE 39 bus system.