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Statistical Power System Line Outage Detection Under Transient Dynamics.

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Title: Statistical Power System Line Outage Detection Under Transient Dynamics.
Authors: Rovatsos, Georgios1, Dominguez-Garcia, Alejandro D.1, Veeravalli, Venugopal V.1, Jiang, Xichen2
Source: IEEE Transactions on Signal Processing. Jun2017, Vol. 65 Issue 11, p2787-2797. 11p.
Subjects: Electric power system faults, Electric lines testing, Transient conditions (Physics), Algorithms, CUSUM technique
Abstract: A quickest change detection (QCD) algorithm is proposed to address the problem of detecting and identifying line outages in a power system. The statistics of electricity demand are assumed to be known and propagated through a linearized model of the equations describing the power flow balance at each node of the network. The proposed algorithm incorporates the transient dynamics of the power system following a line outage and is applied to the measurements of voltage phase angles, which are collected using phasor measurement units. This adaptive algorithm is developed by treating the QCD problem as a dynamic composite hypothesis testing problem. It is shown to have superior performance compared with other line outage detection algorithms previously proposed in the literature. Case studies demonstrating this gain in performance are illustrated through the IEEE 118-bus test system. [ABSTRACT FROM PUBLISHER]
Copyright of IEEE Transactions on Signal Processing is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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DbLabel: Engineering Source
An: 124146107
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Statistical Power System Line Outage Detection Under Transient Dynamics.
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  Data: <searchLink fieldCode="AR" term="%22Rovatsos%2C+Georgios%22">Rovatsos, Georgios</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Dominguez-Garcia%2C+Alejandro+D%2E%22">Dominguez-Garcia, Alejandro D.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Veeravalli%2C+Venugopal+V%2E%22">Veeravalli, Venugopal V.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Jiang%2C+Xichen%22">Jiang, Xichen</searchLink><relatesTo>2</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22IEEE+Transactions+on+Signal+Processing%22">IEEE Transactions on Signal Processing</searchLink>. Jun2017, Vol. 65 Issue 11, p2787-2797. 11p.
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  Data: <searchLink fieldCode="DE" term="%22Electric+power+system+faults%22">Electric power system faults</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+lines+testing%22">Electric lines testing</searchLink><br /><searchLink fieldCode="DE" term="%22Transient+conditions+%28Physics%29%22">Transient conditions (Physics)</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22CUSUM+technique%22">CUSUM technique</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: A quickest change detection (QCD) algorithm is proposed to address the problem of detecting and identifying line outages in a power system. The statistics of electricity demand are assumed to be known and propagated through a linearized model of the equations describing the power flow balance at each node of the network. The proposed algorithm incorporates the transient dynamics of the power system following a line outage and is applied to the measurements of voltage phase angles, which are collected using phasor measurement units. This adaptive algorithm is developed by treating the QCD problem as a dynamic composite hypothesis testing problem. It is shown to have superior performance compared with other line outage detection algorithms previously proposed in the literature. Case studies demonstrating this gain in performance are illustrated through the IEEE 118-bus test system. [ABSTRACT FROM PUBLISHER]
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  Label:
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  Data: <i>Copyright of IEEE Transactions on Signal Processing is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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        Value: 10.1109/TSP.2017.2673802
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      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 2787
    Subjects:
      – SubjectFull: Electric power system faults
        Type: general
      – SubjectFull: Electric lines testing
        Type: general
      – SubjectFull: Transient conditions (Physics)
        Type: general
      – SubjectFull: Algorithms
        Type: general
      – SubjectFull: CUSUM technique
        Type: general
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      – TitleFull: Statistical Power System Line Outage Detection Under Transient Dynamics.
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            NameFull: Jiang, Xichen
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              M: 06
              Text: Jun2017
              Type: published
              Y: 2017
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