Present status of the distribution system state estimation, and methods of bad data detection and identification are surveyed here.
并对配电网状态估计的研究现状和常用不良数据的检测与辨识方法进行了描述。
In this dissertation, the detection, identification and correction of the bad or wrong data in the power system were investigated thoroughly.
本文对电力系统中的不良和错误数据的检测辨识与修正进行了深入研究。
Lastly, several conclusions on bad data detection and identification for distribution system are given.
最后，得到了配电网络不良数据检测与辨识的若干结论。
Bad data detection and identification is one of the chief functions in the running state analysis of the distribution system.
不良数据检测与辨识是配电系统运行状态分析的主要功能之一。
After analysis of traditional methods, including residual and sudden change detection, some new theories are introduced for bad data detection and identification.
针对不良数据的检测和辨识，在简要分析传统量测量残差检测和突变检测方法优缺点的基础上，又介绍了一些新的理论。
The power system state estimation involves network topology, network observability analysis, state estimation and detection and identification of bad data.
电力系统状态估计的内容包括：网络拓扑分析、网络可观测性分析、状态估计、状态估计潮流、不良数据检测和辨识等。
The problem about bad data detection and identification in distribution system state estimation is focused in this thesis.
本文着重分析了配电网状态估计中的不良数据检测与辨识的问题。
The data identification and correction methods for single bad data and a group of bad data are detailed.
论述了单个节点的不良数据辩识及修正过程和多个节点构成的区域的不良数据辩识及修正过程。
The data identification and correction methods for single bad data and a group of bad data are detailed.
论述了单个节点的不良数据辩识及修正过程和多个节点构成的区域的不良数据辩识及修正过程。
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