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Location and sizing of distributed generation photovoltaic (DGPV) via multi-objective pareto algorithm

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dc.citedby1
dc.contributor.authorMustaffa S.A.S.en_US
dc.contributor.authorMusirin I.en_US
dc.contributor.authorOthman M.M.en_US
dc.contributor.authorMansor M.H.en_US
dc.contributor.authorid57189288788en_US
dc.contributor.authorid8620004100en_US
dc.contributor.authorid35944613200en_US
dc.contributor.authorid56372667100en_US
dc.date.accessioned2023-05-29T06:50:31Z
dc.date.available2023-05-29T06:50:31Z
dc.date.issued2018
dc.descriptionComputer programming; Decision making; Electric power transmission; Location; Pareto principle; Voltage control; Fast voltage stability indices; Multi objective; optimal; Pareto-optimal; Photovoltaic; Distributed power generationen_US
dc.description.abstractThis paper proposes a new multi-objective technique to solve the problem of optimal location and sizing of Distributed Generation Photovoltaic (DGPV) in the power system transmission network. The technique: Multi-objective Chaotic Mutation Immune Evolutionary Programming (MOCMIEP) was developed based on Pareto optimality to solve the DGPV location and sizing problem. The proposed technique determines the optimal location and sizing of DGPV, therefore will minimize the multiple objective functions, namely the active power losses and Fast Voltage Stability Index (FVSI) simultaneously. The method was tested on IEEE 118-Bus Reliability Test System (RTS). The results revealed that the proposed technique had the ability to acquire a set of Pareto solutions for the decision maker to choose depending on the system priorities. � 2018 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo8758003
dc.identifier.doi10.1109/AUPEC.2018.8758003
dc.identifier.scopus2-s2.0-85069463346
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85069463346&doi=10.1109%2fAUPEC.2018.8758003&partnerID=40&md5=4a4da2960d0e908ee4a9c3a0a8deddb1
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23616
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitleAustralasian Universities Power Engineering Conference, AUPEC 2018
dc.titleLocation and sizing of distributed generation photovoltaic (DGPV) via multi-objective pareto algorithmen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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