新息图状态估计在拓扑结构获取和不良数据辨识方面与一般状态估计差异较大。
In terms of state estimation, there are great differences between the innovation graph technique and the conventional methods on obtaining the topology configuration and identifying bad data.
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.
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.
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.
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.
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.
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.
本文提出不良数据检测和辨识新算法——递归量测误差估计辨识法(RMEEI法)。
Recursive Measurement Error estimation Identification (RMEEI) method for dad data analysis in power system state estimation is proposed in this paper.
本文提出不良数据检测和辨识新算法——递归量测误差估计辨识法(RMEEI法)。
Recursive Measurement Error estimation Identification (RMEEI) method for dad data analysis in power system state estimation is proposed in this paper.
应用推荐