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An application of improved salp swarm algorithm for optimal power flow solution considering stochastic solar power generation

This paper describes the use of an improved version of the Salp Swarm Algorithm, known as iSSA, to address Optimal Power Flow (OPF) issues in power system management. The iSSA is applied to OPF problems involving stochastic solar power generation, with the goal of optimizing control variables such a...

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Main Authors: Mohd Herwan, Sulaiman, Zuriani, Mustaffa
Format: Article
Language:English
Published: Elsevier Ltd 2023
Subjects:
QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/38391/1/An%20application%20of%20improved%20salp%20swarm%20algorithm%20for%20optimal%20power.pdf
http://umpir.ump.edu.my/id/eprint/38391/
https://doi.org/10.1016/j.prime.2023.100195
https://doi.org/10.1016/j.prime.2023.100195
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spelling my.ump.umpir.383912023-08-24T23:53:11Z http://umpir.ump.edu.my/id/eprint/38391/ An application of improved salp swarm algorithm for optimal power flow solution considering stochastic solar power generation Mohd Herwan, Sulaiman Zuriani, Mustaffa QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering This paper describes the use of an improved version of the Salp Swarm Algorithm, known as iSSA, to address Optimal Power Flow (OPF) issues in power system management. The iSSA is applied to OPF problems involving stochastic solar power generation, with the goal of optimizing control variables such as real power generation, voltage magnitude at generation buses, transformer tap settings, and reactive power compensation. The optimization aims to achieve three objectives: minimizing power loss, minimizing cost, and minimizing combined cost and emissions from power generation. The iSSA's performance was tested on a modified IEEE 30-bus system and compared to other recent algorithms, including SSA. The simulation results show that the iSSA outperformed all compared algorithms for all objective functions that have been derived in this study. Elsevier Ltd 2023-09 Article PeerReviewed pdf en cc_by_4 http://umpir.ump.edu.my/id/eprint/38391/1/An%20application%20of%20improved%20salp%20swarm%20algorithm%20for%20optimal%20power.pdf Mohd Herwan, Sulaiman and Zuriani, Mustaffa (2023) An application of improved salp swarm algorithm for optimal power flow solution considering stochastic solar power generation. e-Prime - Advances in Electrical Engineering, Electronics and Energy, 5 (100195). pp. 1-14. ISSN 2772-6711. (Published) https://doi.org/10.1016/j.prime.2023.100195 https://doi.org/10.1016/j.prime.2023.100195
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Mohd Herwan, Sulaiman
Zuriani, Mustaffa
An application of improved salp swarm algorithm for optimal power flow solution considering stochastic solar power generation
description This paper describes the use of an improved version of the Salp Swarm Algorithm, known as iSSA, to address Optimal Power Flow (OPF) issues in power system management. The iSSA is applied to OPF problems involving stochastic solar power generation, with the goal of optimizing control variables such as real power generation, voltage magnitude at generation buses, transformer tap settings, and reactive power compensation. The optimization aims to achieve three objectives: minimizing power loss, minimizing cost, and minimizing combined cost and emissions from power generation. The iSSA's performance was tested on a modified IEEE 30-bus system and compared to other recent algorithms, including SSA. The simulation results show that the iSSA outperformed all compared algorithms for all objective functions that have been derived in this study.
format Article
author Mohd Herwan, Sulaiman
Zuriani, Mustaffa
author_facet Mohd Herwan, Sulaiman
Zuriani, Mustaffa
author_sort Mohd Herwan, Sulaiman
title An application of improved salp swarm algorithm for optimal power flow solution considering stochastic solar power generation
title_short An application of improved salp swarm algorithm for optimal power flow solution considering stochastic solar power generation
title_full An application of improved salp swarm algorithm for optimal power flow solution considering stochastic solar power generation
title_fullStr An application of improved salp swarm algorithm for optimal power flow solution considering stochastic solar power generation
title_full_unstemmed An application of improved salp swarm algorithm for optimal power flow solution considering stochastic solar power generation
title_sort application of improved salp swarm algorithm for optimal power flow solution considering stochastic solar power generation
publisher Elsevier Ltd
publishDate 2023
url http://umpir.ump.edu.my/id/eprint/38391/1/An%20application%20of%20improved%20salp%20swarm%20algorithm%20for%20optimal%20power.pdf
http://umpir.ump.edu.my/id/eprint/38391/
https://doi.org/10.1016/j.prime.2023.100195
https://doi.org/10.1016/j.prime.2023.100195
_version_ 1775622259938951168
score 13.211869

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