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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| Format: | Article |
| Language: | English |
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Elsevier Ltd
2023
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| Online Access: | http://umpir.ump.edu.my/id/eprint/38391/ http://umpir.ump.edu.my/id/eprint/38391/1/An%20application%20of%20improved%20salp%20swarm%20algorithm%20for%20optimal%20power.pdf |
| _version_ | 1848825496930877440 |
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| author | Mohd Herwan, Sulaiman Zuriani, Mustaffa |
| author_facet | Mohd Herwan, Sulaiman Zuriani, Mustaffa |
| author_sort | Mohd Herwan, Sulaiman |
| building | UMP Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T03:29:51Z |
| format | Article |
| id | ump-38391 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:29:51Z |
| publishDate | 2023 |
| publisher | Elsevier Ltd |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-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 |
| 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 |
| title | 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_short | 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 |
| topic | QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/38391/ http://umpir.ump.edu.my/id/eprint/38391/ http://umpir.ump.edu.my/id/eprint/38391/ http://umpir.ump.edu.my/id/eprint/38391/1/An%20application%20of%20improved%20salp%20swarm%20algorithm%20for%20optimal%20power.pdf |