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
Saved in:
Main Authors: | , , , |
---|---|
Other Authors: | |
Format: | Conference Paper |
Published: |
Institute of Electrical and Electronics Engineers Inc.
2023
|
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Universiti Tenaga Nasional |
id |
my.uniten.dspace-23616 |
---|---|
record_format |
dspace |
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 |