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Article: Outage planning of electrical power system networks using genetic algorithm

TitleOutage planning of electrical power system networks using genetic algorithm
Authors
KeywordsAlgorithms
Electricity industry
Maintenance
Planning
Issue Date2000
PublisherEmerald Group Publishing Limited. The Journal's web site is located at http://www.emeraldinsight.com/jqme.htm
Citation
Journal Of Quality In Maintenance Engineering, 2000, v. 6 n. 4, p. 241-259 How to Cite?
AbstractAn electrical company is responsible for the maintenance of a transmission network of high voltage electricity. The maintenance schedule must be planned so as to minimize outage costs, taking into consideration various factors such as system security/reliability, system availability, and manpower utilization. With the rapid growth of organization, planning engineers are required to fulfill additional roles in order to increase productivity. To this end, a fast response and accurate mechanism is required to assist the planning engineers in dealing with the daily operation. This paper describes how a proposed maintenance schedule can be obtained automatically by the adoption of genetic algorithm. The main aim is to determine the maintenance schedule of circuit outage with minimizing the maintenance cost and maximizing the circuit availability under certain unavoidable system constraints. Further, an additional search mechanism called "final tuning search" is developed to enhance the system performance.
Persistent Identifierhttp://hdl.handle.net/10722/42117
ISSN
2015 SCImago Journal Rankings: 0.503
References

 

DC FieldValueLanguage
dc.contributor.authorChan, FTSen_HK
dc.contributor.authorLau, HCWen_HK
dc.contributor.authorKo, CCen_HK
dc.date.accessioned2007-01-08T02:29:24Z-
dc.date.available2007-01-08T02:29:24Z-
dc.date.issued2000en_HK
dc.identifier.citationJournal Of Quality In Maintenance Engineering, 2000, v. 6 n. 4, p. 241-259en_HK
dc.identifier.issn1355-2511en_HK
dc.identifier.urihttp://hdl.handle.net/10722/42117-
dc.description.abstractAn electrical company is responsible for the maintenance of a transmission network of high voltage electricity. The maintenance schedule must be planned so as to minimize outage costs, taking into consideration various factors such as system security/reliability, system availability, and manpower utilization. With the rapid growth of organization, planning engineers are required to fulfill additional roles in order to increase productivity. To this end, a fast response and accurate mechanism is required to assist the planning engineers in dealing with the daily operation. This paper describes how a proposed maintenance schedule can be obtained automatically by the adoption of genetic algorithm. The main aim is to determine the maintenance schedule of circuit outage with minimizing the maintenance cost and maximizing the circuit availability under certain unavoidable system constraints. Further, an additional search mechanism called "final tuning search" is developed to enhance the system performance.en_HK
dc.format.extent435215 bytes-
dc.format.extent25600 bytes-
dc.format.extent614593 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypeapplication/msword-
dc.format.mimetypeapplication/pdf-
dc.languageengen_HK
dc.publisherEmerald Group Publishing Limited. The Journal's web site is located at http://www.emeraldinsight.com/jqme.htmen_HK
dc.relation.ispartofJournal of Quality in Maintenance Engineeringen_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectAlgorithmsen_HK
dc.subjectElectricity industryen_HK
dc.subjectMaintenanceen_HK
dc.subjectPlanningen_HK
dc.titleOutage planning of electrical power system networks using genetic algorithmen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1355-2511&volume=6&issue=4&spage=241&epage=259&date=2000&atitle=Outage+planning+of+electrical+power+system+networks+using+genetic+algorithmen_HK
dc.identifier.emailChan, FTS: ftschan@hkucc.hku.hken_HK
dc.identifier.authorityChan, FTS=rp00090en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1108/13552510010346752en_HK
dc.identifier.scopuseid_2-s2.0-9344237126en_HK
dc.identifier.hkuros63051-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-9344237126&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume6en_HK
dc.identifier.issue4en_HK
dc.identifier.spage241en_HK
dc.identifier.epage259en_HK
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridChan, FTS=7202586517en_HK
dc.identifier.scopusauthoridLau, HCW=7201497785en_HK
dc.identifier.scopusauthoridKo, CC=36870487300en_HK

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