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Conference Paper: Risk Assessment Of Power Systems Under Extreme Weather Conditions — A Review

TitleRisk Assessment Of Power Systems Under Extreme Weather Conditions — A Review
Authors
Liu, YZhong, J
KeywordsHazards
power system reliability
prediction method
risk analysis
Issue Date2017
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000589
Citation
12th IEEE PES PowerTech Conference (PowerTech 2017), Manchester, UK, 18-22 June 2017 How to Cite?
DOI: http://dx.doi.org/10.1109/PTC.2017.7981141
AbstractExtreme weather can lead to serious contingencies in power systems. Risk assessment based on weather forecast is pivotal for emergency response and restoration plan of potential contingencies in power grids. Numerous models and algorithms of electric asset risk prediction have been proposed in the last few decades. This paper reviews various models and discusses the advantages and disadvantages of these methods for weather-related outage prediction in power systems. The risk assessment process of power systems under extreme weather conditions based on these methods is also illustrated.
Persistent Identifierhttp://hdl.handle.net/10722/246144

 

DC FieldValueLanguage
dc.contributor.authorLiu, Y-
dc.contributor.authorZhong, J-
dc.date.accessioned2017-09-18T02:23:09Z-
dc.date.available2017-09-18T02:23:09Z-
dc.date.issued2017-
dc.identifier.citation12th IEEE PES PowerTech Conference (PowerTech 2017), Manchester, UK, 18-22 June 2017-
dc.identifier.urihttp://hdl.handle.net/10722/246144-
dc.description.abstractExtreme weather can lead to serious contingencies in power systems. Risk assessment based on weather forecast is pivotal for emergency response and restoration plan of potential contingencies in power grids. Numerous models and algorithms of electric asset risk prediction have been proposed in the last few decades. This paper reviews various models and discusses the advantages and disadvantages of these methods for weather-related outage prediction in power systems. The risk assessment process of power systems under extreme weather conditions based on these methods is also illustrated.-
dc.languageeng-
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000589-
dc.relation.ispartofPowerTech Conference-
dc.rightsPowerTech Conference. Copyright © IEEE.-
dc.rights©2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.subjectHazards-
dc.subjectpower system reliability-
dc.subjectprediction method-
dc.subjectrisk analysis-
dc.titleRisk Assessment Of Power Systems Under Extreme Weather Conditions — A Review-
dc.typeConference_Paper-
dc.identifier.emailZhong, J: jinzhong@hkucc.hku.hk-
dc.identifier.authorityZhong, J=rp00212-
dc.identifier.doi10.1109/PTC.2017.7981141-
dc.identifier.scopuseid_2-s2.0-85034785662-
dc.identifier.hkuros277546-
dc.publisher.placeUnited States-

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