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。
Present status of the distribution system state estimation, and methods of bad data detection and identification are surveyed here.
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。
After analysis of traditional methods, including residual and sudden change detection, some new theories are introduced for bad data detection and identification.
快照用于检测现有的数据库健康问题，包括服务器和别名的不良健康状况。
The snapshots are useful for detecting existing database health problems, including poor health of servers and nicknames.
最后，得到了配电网络不良数据检测与辨识的若干结论。
Lastly, several conclusions on bad data detection and identification for distribution system are given.
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。
Bad data detection and identification is one of the chief functions in the running state analysis of the distribution system.
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 power system state estimation involves network topology, network observability analysis, state estimation and detection and identification of bad data.
不良数据检测和辩识是电力系统状态估计中的一个重要环节。
One important function of Power System State Estimation is identification and suppression of bad data.
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。
In this dissertation, the detection, identification and correction of the bad or wrong data in the power system were investigated thoroughly.
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 problem about bad data detection and identification in distribution system state estimation is focused in this thesis.
由此提出了一种新的配电系统不良数据检测及校正的方法，并给出了一种基于配电网匹配潮流状态估计方法。
Based on this, it is presented to a new method on bad data of distribution systems monitored and modified and a distribution state estimation based on matching power flow.
结果表明基于改进粒子群算法的状态估计可以得到最优值，但时间较长，检测法可以检测出不良数据。
The results show that the state estimation method based on improved particle swarm algorithm can be the best value, but a longer time, and the bad data can be detected by J(x) detection method.
本文推导了具有这种相关关系的量测量之间的线性表达式，并提出一种新的多不良数据检测方法。
Based on which, a new detection method for bad data is presented, which detects multiple bad data by checking up whether the real time measuring-values satisfy the equations or not.
本文推导了具有这种相关关系的量测量之间的线性表达式，并提出一种新的多不良数据检测方法。
Based on which, a new detection method for bad data is presented, which detects multiple bad data by checking up whether the real time measuring-values satisfy the equations or not.
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