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dc.contributor.authorPereira, Danilo
dc.contributor.authorAlmeida, Carlos
dc.contributor.authorKagan, Nelson
dc.contributor.authorGouvêa, Marcos
dc.contributor.authorJunior, José
dc.contributor.authorJunior, James
dc.contributor.authorViana, Fabrício
dc.contributor.authorDominice, Alexandre
dc.date.accessioned2019-07-24T12:39:58Z
dc.date.available2019-07-24T12:39:58Z
dc.date.issued2019-06-03
dc.identifier.isbn978-2-9602415-0-1
dc.identifier.issn2032-9644
dc.identifier.urihttps://cired-repository.org/handle/20.500.12455/357
dc.identifier.urihttp://dx.doi.org/10.34890/583
dc.description.abstractYearly, power distribution utilities plan preventive maintenance actions, aiming at reducing durations and frequencies of power outages. Currently, utilities planning engineers prioritize maintenance actions based on multiple spreadsheets, personal experience and cumbersome procedures. Typically, they simply rank the actions according to their expected benefits. Then a set of actions is selected depending on their costs and on the budgets available. This paper proposes a Genetic Algorithm (GA)-based methodology which provides an optimal plan of maintenance actions considering the financial restrictions. Four major types of actions are addressed, regarding the targeted assets: general Medium Voltage (MV) equipment, general Low Voltage (LV) equipment, MV/LV transformers and poles. To apply the proposed methodology, a case study was set up considering a Brazilian power distribution area. By executing the methodology for each of the four major types of actions, a plan of optimal maintenance actions was produced, considering the corresponding budget restrictions. The methodology succeeded in providing an optimal plan of suitable actions for a real power distribution substation.
dc.language.isoen
dc.publisherAIM
dc.relation.ispartofseriesCIRED Conference Proceedings
dc.titleA Genetic Algorithm Based Methodology for Prioritizing Maintenance Actions of Power Distribution Utilities
dc.typeConference Proceedings
dc.description.conferencelocationMadrid, Spain
dc.relation.ispartProc. of the 25th International Conference on Electricity Distribution (CIRED 2019)
dc.contributor.detailedauthorPereira, Danilo, ENERQ - USP, Brazil
dc.contributor.detailedauthorAlmeida, Carlos, ENERQ - USP, Brazil
dc.contributor.detailedauthorKagan, Nelson, ENERQ - USP, Brazil
dc.contributor.detailedauthorGouvêa, Marcos, ENERQ - USP, Brazil
dc.contributor.detailedauthorJunior, José, EDP, Brazil
dc.contributor.detailedauthorJunior, James, EDP, Brazil
dc.contributor.detailedauthorViana, Fabrício, EDP, Brazil
dc.contributor.detailedauthorDominice, Alexandre, EDP, Brazil
dc.date.conferencedate3-6 June 2019
dc.description.peerreviewedYes
dc.title.number1246
dc.description.openaccessYes
dc.contributor.countryBrazil
dc.contributor.countryBrazil
dc.contributor.countryBrazil
dc.contributor.countryBrazil
dc.contributor.countryBrazil
dc.contributor.countryBrazil
dc.contributor.countryBrazil
dc.contributor.countryBrazil
dc.description.conferencenameCIRED 2019
dc.contributor.affiliationENERQ - USP
dc.contributor.affiliationENERQ - USP
dc.contributor.affiliationENERQ - USP
dc.contributor.affiliationENERQ - USP
dc.contributor.affiliationEDP
dc.contributor.affiliationEDP
dc.contributor.affiliationEDP
dc.contributor.affiliationEDP
dc.description.sessionPlanning of power distribution systems
dc.description.sessionidSession 5


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