Publication:
A Review on Power Plant Maintenance and Operational Performance

dc.citedby8
dc.contributor.authorVelayutham P.en_US
dc.contributor.authorIsmail F.B.en_US
dc.contributor.authorid57204706594en_US
dc.contributor.authorid58027086700en_US
dc.date.accessioned2023-05-29T06:50:29Z
dc.date.available2023-05-29T06:50:29Z
dc.date.issued2018
dc.descriptionElectric power systems; Particle swarm optimization (PSO); Scheduling; Load demand; Maintenance scheduling; Objective functions; Operational performance; Particle swarm optimization technique; Power plant maintenance; Power System; Reliable operation; Maintenanceen_US
dc.description.abstractThis paper presents the power plant maintenance scheduling and particle swarm optimization (PSO) technique to ensure economical and reliable operation of power system. Initially problems related to the power plant maintenance scheduling in modern power systems are briefed, also explaining the need and importance of an optimum and reliable power plant maintenance system. It briefly describes the maintenance scheduling of power plant by application of PSO technique. This paper proposes power plant maintenance scheduling of a power system based on minimization of the objective function considering the economical and reliable operation of a power system while satisfying the crew/manpower and the load demand. � 2018 The Authors, published by EDP Sciences.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo5003
dc.identifier.doi10.1051/matecconf/201822505003
dc.identifier.scopus2-s2.0-85056793531
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85056793531&doi=10.1051%2fmatecconf%2f201822505003&partnerID=40&md5=36f145efc875e233730a08b7b266deb3
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23610
dc.identifier.volume225
dc.publisherEDP Sciencesen_US
dc.relation.ispartofAll Open Access, Gold, Green
dc.sourceScopus
dc.sourcetitleMATEC Web of Conferences
dc.titleA Review on Power Plant Maintenance and Operational Performanceen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
Files
Collections