摘要
提出了状态预估与Rn 检测相结合的不良数据的检测辨识方法。该法既能克服残差污染、残差淹没现象 ,又能区分不良数据与突变量。在 18结点系统上进行了数字仿真实验 。
The paper presents a hybrid bad data detection and identification metheod of stae forecasting combined with R n detection.This method can overcome the phenomena of misidentification and unidentification of bad data efficiently and can distinguish bad data and sundden change.The digital simulation test is made for a 18 node system.The result of simulation is satisfactory.
出处
《电工技术杂志》
1999年第6期18-21,共4页
Electrotechnical Journal
