考虑极端事件下的高比例可再生能源电力系统韧性增强策略

Resilience Enhancement Strategy for Power System with High Proportion of Renewable Energy Considering Extreme Events

近年来,极端事件与风电出力的不确定性给电力系统的安全运行带来了严峻挑战。文中提出一种考虑极端事件并以风电不确定性为导向的自适应鲁棒优化模型以增强电力系统的韧性能力。首先,考虑风电出力不确定性以构建自适应鲁棒多面体不确定性集合。其次,考虑极端事件对电力系统的威胁,提出了防御-攻击-防御框架下风电出力不确定性的电力系统韧性增强模型。最后,该模型在IEEE RTS-79和IEEE RTS-96测试系统上进行仿真验证,并采用列与约束生成算法进行求解,仿真结果验证了所提模型及求解方法的有效性。

In recent years,extreme events and uncertainty of wind power generation have brought serious challenges to the security operation of power systems.This paper proposes an adaptive robust optimization model to enhance the resilience of the power system considering wind power generation uncertainty under extreme events.Firstly,an adaptive robust polyhedral uncertainty set is constructed by considering the wind power generation uncertainty.Secondly,considering the threat of extreme events to the power system,a resilience enhancement model of power system considering wind power output uncertainty in the defense-attack-defense framework is proposed.Finally,the model is simulated and verified on the IEEE RTS-79 and IEEE RTS-96 test systems,which is solved by the column-and-constraint generation(C&CG)algorithm.The simulation results fully verified the effectiveness of the proposed model and solution method.