基于新增虚拟节点的系统受扰轨迹预测

提出了基于新增虚拟节点的多机系统受扰轨迹预测方法.首先从对系统受扰在线分析入手,结合状态估计或潮流数据,将系统降阶成只含有配置同步相量测量单元(PMU)测点的发电机节点系统,然后引入虚拟节点,通过该节点和各个保留节点之间的导纳改变,反映原系统中其他各个元件模型参数变化和网络拓扑参数变化,并利用毫秒级PMU量测对其进行修正,得到降阶后系统节点电压、电流关系传递矩阵,通过发电机方程和网络连接模型,与相应的发电机方程联合,实现系统受扰轨迹预测.10机39节点系统对该算法的验证表明了该算法的有效性.

The Perturbed Trajectories Prediction Based on an Additional Virtual Node

An algorithm for predicting the perturbed trajectories in a multi-machine system is proposed based on an additional virtual node.Through an on-line analysis of the perturbed system and the data on the state estimation or power flow,the power system is reduced in order to a system of reserved nodes of power plants with only PMU.By introducing an additional virtual node,the variety of system elements' model or their parameters and alteration of the network topology can be identified by mutual admittance between the virtual node and reserved node.The mutual admittance can be modified based on the PMU data.Using the transitive relationship matrix between the voltage and current of the reduced-order system,the perturbed trajectories prediction should be realized by the connection model between generator equation and network.The effectiveness of the proposed algorithm is verified with numerical simulation on a 10-machine 39-bus power system,with the resultant scheme implemented.