计及统一潮流控制器的电力系统双层协调弹性调度

极端天气造成的故障会引发潮流转移，触发连锁故障，从而增加了大规模停电事故发生的概率。高比例电力电子设备接入电网的趋势增加了电网调度的灵活性。因此，提出计及统一潮流控制器的电力系统双层协调弹性调度策略。采用随机场景生成的方法模拟极端天气事件；通过潮流熵定量描述极端天气下潮流分布的不均衡性，以表征发生连锁故障的风险；将弹性调度代价最低和潮流熵最低分别作为上下层模型的目标函数，同时基于统一潮流控制器的调节潮流特性，构建双层弹性调度模型；基于KKT条件和对偶原则，将原双层调度模型转化为单层混合整数线性优化模型进行求解，并通过装有统一潮流控制器的IEEE 39和IEEE118节点系统进行算例仿真，验证了所提模型在降低大规模停电事故概率和提升系统弹性方面的有效性。

Bi-level coordinative resilience dispatching of power system considering unified power flow controller

The extreme-weather-event-caused failures can trigger the redistribution of power flow, which might result in cascading failures. The above process increases the probability of large-scale power outages. The trend of a high penetration of power electronic devices connecting to the power grid increases the system dispatching flexibility. Therefore, a bi-level operation strategy considering unified power flow controllers is proposed to enhance the power system resilience. A random scenario generation method is used to simulate extreme weather events, and the power flow entropy is introduced to represent the risk of cascading outages during weather disasters. The minimum resilient dispatching cost and the minimum power flow entropy are respectively deployed as the objective functions of the upper-level and the lower-level models. The proposed bi-level model is further combined with the power flow regulation characteristics of the unified power flow controller. Additionally, the proposed bi-level model is reformulated as a mixed-integer linear programming problem based on KKT conditions and strong-duality theory. Case studies of the modified IEEE 39-bus and IEEE 118-bus systems with unified power flow controllers are employed to validate the effectiveness of the proposed method. Numerical results demonstrate that the proposed strategies can decrease the probability of large-scale outages and enhance the power system resilience.