2017 IEEE Manchester PowerTech 2017
DOI: 10.1109/ptc.2017.7980940
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Detecting topological errors with pre-estimation filtering of bad data in wide-area measurements

Abstract: 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. Bot… Show more

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Cited by 2 publications
(2 citation statements)
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“…The fault zone identification vector FZIV is then obtained by substituting (25) and (26) into (1). The results of FZIV preceding the fault are summarized in Table 1.…”
Section: Fault Zone Identification Vector Preceding the Faultmentioning
confidence: 99%
See 1 more Smart Citation
“…The fault zone identification vector FZIV is then obtained by substituting (25) and (26) into (1). The results of FZIV preceding the fault are summarized in Table 1.…”
Section: Fault Zone Identification Vector Preceding the Faultmentioning
confidence: 99%
“…Moreover, the wide area measurements need to be accurate in order to locate the fault. The authors of [26] describe a technique to detect bad wide area measurement by using a pre-estimation filter. In [27], a linear method for identifying measurement errors has been described.…”
Section: Introductionmentioning
confidence: 99%