中文摘要：

负荷突变会引起系统运行状态的突然变化,在有预报功能的状态估计中会对不良数据的识别产生不良影响。结合工程实际应用,对新息图法状态估计识别负荷突变的方法进行了深入研究,提出了突变路径和突变子网的概念以及识别负荷突变的方法。在确定节点注入新息偏大的可疑节点后,通过寻找这些可疑节点之间是否存在突变路径,确定能否形成突变子网,以识别由多台发电机给突变负载提供功率的情况。节点新息和支路新息差在识别过程中相互检验,解决了负荷突变和不良数据同时存在时的识别问题。以IEEE 30节点系统为例详述了利用突变子网识别负荷突变的方法,该方法已在工程实际中得到验证。

英文摘要：

A sudden load change may bring a sudden change to operating state of a power system and has serious impacts on the bad data identification in the state estimation with predicting functions.Considering engineering practices,an innovation graph approach based identification method for sudden load change is further studied.The concepts of sudden change route and sudden change subnet are proposed and the identification method for sudden load change is presented.After successful identification of the suspicious nodes with large injecting innovation values,sudden change routes can be found among the nodes.These sudden change routes can make up a sudden change subnet and all the sudden change nodes can be identified in cases when multi generators are supplying a sudden change load.The nodes injection innovation and branches innovation difference can be used for cross validation to identify the bad data occurring simultaneously with the sudden load changes.The IEEE 30-bus system example is shown to explain the identification process by sudden change subnet.This method has also been validated in practice.