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Article: Delay Aware Intelligent Transient Stability Assessment System

TitleDelay Aware Intelligent Transient Stability Assessment System
Authors
KeywordsCommunication delay
Intelligent system
Long short-term memory
Phasor measurement units
Transient stability assessment
Voltage phasor
Issue Date2017
PublisherInstitute of Electrical and Electronics Engineers (IEEE): OAJ. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6287639
Citation
IEEE Access, 2017, v. 5, p. 17230-17239 How to Cite?
AbstractTransient stability assessment is a critical tool for power system design and operation. With the emerging advanced synchrophasor measurement techniques, machine learning methods are playing an increasingly important role in power system stability assessment. However, most existing research makes a strong assumption that the measurement data transmission delay is negligible. In this paper, we focus on investigating the influence of communication delay on synchrophasor-based transient stability assessment. In particular, we develop a delay aware intelligent system to address this issue. By utilizing an ensemble of multiple long short-term memory networks, the proposed system can make early assessments to achieve a much shorter response time by utilizing incomplete system variable measurements. Compared with existing work, our system is able to make accurate assessments with a significantly improved efficiency. We perform numerous case studies to demonstrate the superiority of the proposed intelligent system, in which accurate assessments can be developed with time one third less than state-of-the-art methodologies. Moreover, the simulations indicate that noise in the measurements has trivial impact on the assessment performance, demonstrating the robustness of the proposed system.
Persistent Identifierhttp://hdl.handle.net/10722/247374
ISSN
2017 Impact Factor: 3.557
2015 SCImago Journal Rankings: 0.947
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorYu, JJ-
dc.contributor.authorLam, AYS-
dc.contributor.authorHill, DJ-
dc.contributor.authorLi, VOK-
dc.date.accessioned2017-10-18T08:26:17Z-
dc.date.available2017-10-18T08:26:17Z-
dc.date.issued2017-
dc.identifier.citationIEEE Access, 2017, v. 5, p. 17230-17239-
dc.identifier.issn2169-3536-
dc.identifier.urihttp://hdl.handle.net/10722/247374-
dc.description.abstractTransient stability assessment is a critical tool for power system design and operation. With the emerging advanced synchrophasor measurement techniques, machine learning methods are playing an increasingly important role in power system stability assessment. However, most existing research makes a strong assumption that the measurement data transmission delay is negligible. In this paper, we focus on investigating the influence of communication delay on synchrophasor-based transient stability assessment. In particular, we develop a delay aware intelligent system to address this issue. By utilizing an ensemble of multiple long short-term memory networks, the proposed system can make early assessments to achieve a much shorter response time by utilizing incomplete system variable measurements. Compared with existing work, our system is able to make accurate assessments with a significantly improved efficiency. We perform numerous case studies to demonstrate the superiority of the proposed intelligent system, in which accurate assessments can be developed with time one third less than state-of-the-art methodologies. Moreover, the simulations indicate that noise in the measurements has trivial impact on the assessment performance, demonstrating the robustness of the proposed system.-
dc.languageeng-
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE): OAJ. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6287639-
dc.relation.ispartofIEEE Access-
dc.rights© 2017 IEEE. Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information.-
dc.subjectCommunication delay-
dc.subjectIntelligent system-
dc.subjectLong short-term memory-
dc.subjectPhasor measurement units-
dc.subjectTransient stability assessment-
dc.subjectVoltage phasor-
dc.titleDelay Aware Intelligent Transient Stability Assessment System-
dc.typeArticle-
dc.identifier.emailYu, JJ: jqyu@eee.hku.hk-
dc.identifier.emailLam, AYS: ayslam@eee.hku.hk-
dc.identifier.emailHill, DJ: dhill@eee.hku.hk-
dc.identifier.emailLi, VOK: vli@eee.hku.hk-
dc.identifier.authorityLam, AYS=rp02083-
dc.identifier.authorityHill, DJ=rp01669-
dc.identifier.authorityLi, VOK=rp00150-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/ACCESS.2017.2746093-
dc.identifier.scopuseid_2-s2.0-85028725671-
dc.identifier.hkuros279819-
dc.identifier.hkuros293547-
dc.identifier.volume5-
dc.identifier.spage17230-
dc.identifier.epage17239-
dc.identifier.isiWOS:000411322200044-
dc.publisher.placeUnited States-

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