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Detecting topological errors with pre-estimation filtering of bad data in wide-area measurements

机译:通过对广域测量中的不良数据进行预估计过滤来检测拓扑错误

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摘要

It is expected that bad data and missing topology information will become an issue of growing concern when power system state estimators are to exploit the high measurement reporting rates from phasor measurement units. This paper suggests to design state estimators with enhanced resilience against those issues. The work presented here include a review of a pre-estimation filter for bad data. A method for detecting branch status errors which may also be applied before the state estimation is then proposed. Both methods are evaluated through simulation on a novel test platform for wide-area measurement applications. It is found that topology errors may be detected even under influence of the large dynamics following the loss of a heavily loaded branch.
机译:预计当电力系统状态估计器要利用相量测量单元的高测量报告速率时,不良数据和丢失的拓扑信息将成为人们日益关注的问题。本文建议设计对这些问题具有增强的弹性的状态估计器。此处介绍的工作包括对不良数据的预估过滤器的回顾。提出了一种用于检测分支状态错误的方法,该方法也可以在状态估计之前被应用。两种方法均通过在新型测试平台上的仿真进行评估,以用于广域测量应用。发现即使在重负载分支丢失之后的大动态影响下,也可以检测到拓扑错误。

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