基于电气距离的低频振荡关联区域和模式类型识别

对于低频振荡在线分析得到的若干个振荡模式，调度运行人员需要掌握典型振荡模式的阻尼水平，在紧急状态下根据振荡模式的类型和关联区域采取控制策略。提出了一种基于电网运行分区间电气距离的关联区域和模式类型识别方法，自动识别参与振荡两群机组的关联区域，区分局部振荡模式和区域间振荡模式。通过拓扑分析确定电网的运行分区，选取电压等级最高的母线作为每个运行分区的代表母线。将振荡模式两群关联机组所属的运行分区作为各群的关联运行分区，通过多端口网络等值计算各运行分区代表母线间的电气距离。将同一群中电气距离较近的运行分区进行聚合得到振荡模式两群的关联区域，根据两群关联区域间的电气距离区分局部振荡模式和区域间振荡模式。通过对实际电网在线数据的案例分析验证了该方法的有效性。

Relevant zone and mode type identification based on electrical distance for low frequency oscillation

Low frequency oscillation online analysis will obtain a number of oscillation modes. Dispatching operators need to distinguish typical oscillation modes and take actions to improve mode damping in emergency state based on mode type and relevant zone. A method based on electrical distance between operating districts is proposed to identify relevant zone and mode type, operating districts of power grid are determined through topological analysis, representative bus with highest voltage level is selected for each operating district. Buses with higher participation factor are chosen as strong correlative buses and divided into two clusters according to the angle of mode shape. Each cluster will be associated with the operating districts corresponding to strong correlative buses. Electrical distance of representative buses is calculated by multi-port equivalence. Relevant zones of two clusters are obtained by aggravating operating districts with smaller electrical distance. Local oscillation mode and inter-area oscillation mode can be discriminated based on electrical distance between operating districts with buses of largest participation factor in each cluster. The effectiveness of the method has been verified by the cases of actual power grid. This work is supported by China Postdoctoral Science Foundation (No. 2016M591738) and Postdoctoral Science and Research Program of Jiangsu Province (No. 1601160C).