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

Computer programming; Decision making; Electric power transmission; Location; Pareto principle; Voltage control; Fast voltage stability indices; Multi objective; optimal; Pareto-optimal; Photovoltaic; Distributed power generation

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Bibliographic Details
Main Authors: Mustaffa S.A.S., Musirin I., Othman M.M., Mansor M.H.
Other Authors: 57189288788
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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spelling my.uniten.dspace-236162023-05-29T14:50:31Z Location and sizing of distributed generation photovoltaic (DGPV) via multi-objective pareto algorithm Mustaffa S.A.S. Musirin I. Othman M.M. Mansor M.H. 57189288788 8620004100 35944613200 56372667100 Computer programming; Decision making; Electric power transmission; Location; Pareto principle; Voltage control; Fast voltage stability indices; Multi objective; optimal; Pareto-optimal; Photovoltaic; Distributed power generation This 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. Final 2023-05-29T06:50:31Z 2023-05-29T06:50:31Z 2018 Conference Paper 10.1109/AUPEC.2018.8758003 2-s2.0-85069463346 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85069463346&doi=10.1109%2fAUPEC.2018.8758003&partnerID=40&md5=4a4da2960d0e908ee4a9c3a0a8deddb1 https://irepository.uniten.edu.my/handle/123456789/23616 8758003 Institute of Electrical and Electronics Engineers Inc. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Computer programming; Decision making; Electric power transmission; Location; Pareto principle; Voltage control; Fast voltage stability indices; Multi objective; optimal; Pareto-optimal; Photovoltaic; Distributed power generation
author2 57189288788
author_facet 57189288788
Mustaffa S.A.S.
Musirin I.
Othman M.M.
Mansor M.H.
format Conference Paper
author Mustaffa S.A.S.
Musirin I.
Othman M.M.
Mansor M.H.
spellingShingle Mustaffa S.A.S.
Musirin I.
Othman M.M.
Mansor M.H.
Location and sizing of distributed generation photovoltaic (DGPV) via multi-objective pareto algorithm
author_sort Mustaffa S.A.S.
title Location and sizing of distributed generation photovoltaic (DGPV) via multi-objective pareto algorithm
title_short Location and sizing of distributed generation photovoltaic (DGPV) via multi-objective pareto algorithm
title_full Location and sizing of distributed generation photovoltaic (DGPV) via multi-objective pareto algorithm
title_fullStr Location and sizing of distributed generation photovoltaic (DGPV) via multi-objective pareto algorithm
title_full_unstemmed Location and sizing of distributed generation photovoltaic (DGPV) via multi-objective pareto algorithm
title_sort location and sizing of distributed generation photovoltaic (dgpv) via multi-objective pareto algorithm
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806427653342756864
score 13.222552