一种基于PMU降阶的系统受扰轨迹预测方法

A perturbed trajectory prediction based on the reduced order of PMU

提出了一种基于同步相量测量单元(PMU)量测数据的系统降阶受扰轨迹预测方法。利用正常状态下多个不同时刻的PMU量测数据,通过最小二乘法得到降阶系统的导纳矩阵;系统发生扰动后,在每个保留节点引入非机理负荷模型来反映系统降阶过程中除保留节点外其他各个元件模型参数改变和网络拓扑变化对降阶后网络的影响,修正降阶系统;将辨识出的系统导纳矩阵与虚拟负荷模型结合已知的发电机模型,实现局部时间内的系统受扰轨迹预测。通过对10机39节点系统的仿真研究,验证了该方法的有效性。

This paper proposes a trajectory prediction method for disturbed system based on phasor measurement unit （PMU）. It uses PMU measurement data at different time under the normal state, and obtains the admittance matrix of reduced order system by the least square method. When system disturbance occurs, by introducing the usual I/O load model for each reserved node, the influence of the variety of system elements model parameters or alteration of the network topology on the network after reducing the order could be identified and the reduced order system can be further modified. The identified admittance matrix and virtual load model are combined with the generator model to achieve trajectory prediction for disturbed system in local time. The validity of this method is verified by the 10-machine 39-bus power system.