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Article: Overhead transmission line outage rate estimation under wind storms

TitleOverhead transmission line outage rate estimation under wind storms
Authors
Keywordsdata pooling
extreme weather
outage rate estimation
parameter estimation
power system security
wind storm
Issue Date2019
PublisherJohn Wiley & Sons, Inc. The Journal's web site is located at http://www3.interscience.wiley.com/cgi-bin/jhome/112638268
Citation
IEEJ Transactions on Electrical and Electronic Engineering, 2019, v. 14 n. 1, p. 57-66 How to Cite?
AbstractWind storms such as hurricanes increase the outage rate of overhead transmission lines and hence can seriously affect the security of power systems. Therefore, it is very important to estimate the overhead transmission line outage rate for a power system that might be jeopardized by wind storms. In this paper, we propose a new method for estimating the outage rate of overhead transmission lines, with two primary advantages. First, the proposed method describes the relationship between the outage rate and the weather factors by a fragility curve customized for overhead transmission lines to ensure that the relationship is precisely represented. Second, the proposed method takes the conductor strength reduction and different physical properties of overhead transmission lines into consideration to increase outage rate estimation accuracy. We test the proposed method by estimating the outage rate of overhead transmission lines in a regional power system based on both historical and simulated wind storms. The test results show that the proposed method generates a more accurate estimation than the conventional approaches. © 2018 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.
Persistent Identifierhttp://hdl.handle.net/10722/258370
ISSN
2021 Impact Factor: 0.923
2020 SCImago Journal Rankings: 0.254
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorYang, L-
dc.contributor.authorLei, S-
dc.contributor.authorHou, Y-
dc.date.accessioned2018-08-22T01:37:25Z-
dc.date.available2018-08-22T01:37:25Z-
dc.date.issued2019-
dc.identifier.citationIEEJ Transactions on Electrical and Electronic Engineering, 2019, v. 14 n. 1, p. 57-66-
dc.identifier.issn1931-4973-
dc.identifier.urihttp://hdl.handle.net/10722/258370-
dc.description.abstractWind storms such as hurricanes increase the outage rate of overhead transmission lines and hence can seriously affect the security of power systems. Therefore, it is very important to estimate the overhead transmission line outage rate for a power system that might be jeopardized by wind storms. In this paper, we propose a new method for estimating the outage rate of overhead transmission lines, with two primary advantages. First, the proposed method describes the relationship between the outage rate and the weather factors by a fragility curve customized for overhead transmission lines to ensure that the relationship is precisely represented. Second, the proposed method takes the conductor strength reduction and different physical properties of overhead transmission lines into consideration to increase outage rate estimation accuracy. We test the proposed method by estimating the outage rate of overhead transmission lines in a regional power system based on both historical and simulated wind storms. The test results show that the proposed method generates a more accurate estimation than the conventional approaches. © 2018 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.-
dc.languageeng-
dc.publisherJohn Wiley & Sons, Inc. The Journal's web site is located at http://www3.interscience.wiley.com/cgi-bin/jhome/112638268-
dc.relation.ispartofIEEJ Transactions on Electrical and Electronic Engineering-
dc.rightsIEEJ Transactions on Electrical and Electronic Engineering. Copyright © John Wiley & Sons, Inc.-
dc.rightsPreprint: This is the pre-peer reviewed version of the following article: [FULL CITE], which has been published in final form at [Link to final article using the DOI]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving. Postprint: This is the peer reviewed version of the following article: [FULL CITE], which has been published in final form at [Link to final article using the DOI]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving. Special Statement for Preprint only Before publication: 'This is a preprint of an article accepted for publication in [The Journal of Pathology] Copyright © ([year]) ([Pathological Society of Great Britain and Ireland])'. After publication: the preprint notice should be amended to follows: 'This is a preprint of an article published in [include the complete citation information for the final version of the Contribution as published in the print edition of the Journal]' For Cochrane Library/ Cochrane Database of Systematic Reviews, add statement & acknowledgement : ‘This review is published as a Cochrane Review in the Cochrane Database of Systematic Reviews 20XX, Issue X. Cochrane Reviews are regularly updated as new evidence emerges and in response to comments and criticisms, and the Cochrane Database of Systematic Reviews should be consulted for the most recent version of the Review.’ Please include reference to the Review and hyperlink to the original version using the following format e.g. Authors. Title of Review. Cochrane Database of Systematic Reviews 20XX, Issue #. Art. No.: CD00XXXX. DOI: 10.1002/14651858.CD00XXXX (insert persistent link to the article by using the URL: http://dx.doi.org/10.1002/14651858.CD00XXXX) (This statement should refer to the most recent issue of the Cochrane Database of Systematic Reviews in which the Review published.)-
dc.subjectdata pooling-
dc.subjectextreme weather-
dc.subjectoutage rate estimation-
dc.subjectparameter estimation-
dc.subjectpower system security-
dc.subjectwind storm-
dc.titleOverhead transmission line outage rate estimation under wind storms-
dc.typeArticle-
dc.identifier.emailLei, S: leishunbo@eee.hku.hk-
dc.identifier.emailHou, Y: yhhou@hku.hk-
dc.identifier.authorityHou, Y=rp00069-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1002/tee.22765-
dc.identifier.scopuseid_2-s2.0-85050467908-
dc.identifier.hkuros286773-
dc.identifier.volume14-
dc.identifier.issue1-
dc.identifier.spage57-
dc.identifier.epage66-
dc.identifier.isiWOS:000455842900006-
dc.publisher.placeUnited States-
dc.identifier.issnl1931-4973-

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