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)
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Abstract
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.
| Item Type: | Article |
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| Additional Information: | Indexed by Scopus |
| Uncontrolled Keywords: | Cost and emission minimizations; Cost minimization; Improved salp swarm algorithm; Loss minimization; Optimal power flow |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Faculty/Division: | College of Engineering Faculty of Computing Faculty of Electrical and Electronic Engineering Technology |
| Depositing User: | Mr Muhamad Firdaus Janih@Jaini |
| Date Deposited: | 24 Aug 2023 23:53 |
| Last Modified: | 24 Aug 2023 23:53 |
| URI: | http://umpir.ump.edu.my/id/eprint/38391 |
| Download Statistic: | View Download Statistics |
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