Optimal power flow solutions for power system operations using moth-flame optimization algorithm
This article proposes a recent novel metaheuristic optimization technique: Moth-Flame Optimizer (MFO) to solve one of the most important problems in the power system namely Optimal power flow (OPF). Three objective functions will be solved simultaneously: minimizing fuel cost, transmission loss, and...
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| Format: | Conference or Workshop Item |
| Language: | English |
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Springer Singapore
2020
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| Online Access: | http://umpir.ump.edu.my/id/eprint/31645/ http://umpir.ump.edu.my/id/eprint/31645/1/Optimal%20Power%20Flow%20Solutions%20for%20Power%20System%20Operations%20Using%20Moth-Flame%20Optimization%20Algorithm.pdf |
| _version_ | 1848823820074352640 |
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| author | Alabd, Salman Mohd Herwan, Sulaiman Muhammad Ikram, Mohd Rashid |
| author_facet | Alabd, Salman Mohd Herwan, Sulaiman Muhammad Ikram, Mohd Rashid |
| author_sort | Alabd, Salman |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | This article proposes a recent novel metaheuristic optimization technique: Moth-Flame Optimizer (MFO) to solve one of the most important problems in the power system namely Optimal power flow (OPF). Three objective functions will be solved simultaneously: minimizing fuel cost, transmission loss, and voltage deviation minimization using a weighted factor. To show the effectiveness of proposed MFO in solving the mentioned problem, the IEEE 30-bus test system will be used. Then the obtained result from the MFO algorithm is compared with other selected well-known algorithms. The comparison proves that MFO gives better results compared to the other compared algorithms. MFO gives a reduction of 14.50% compared to 13.38 and 14.15% for artificial bee colony (ABC) and Improved Grey Wolf Optimizer (IGWO) respectively |
| first_indexed | 2025-11-15T03:03:12Z |
| format | Conference or Workshop Item |
| id | ump-31645 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:03:12Z |
| publishDate | 2020 |
| publisher | Springer Singapore |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-316452021-07-27T03:20:51Z http://umpir.ump.edu.my/id/eprint/31645/ Optimal power flow solutions for power system operations using moth-flame optimization algorithm Alabd, Salman Mohd Herwan, Sulaiman Muhammad Ikram, Mohd Rashid TK Electrical engineering. Electronics Nuclear engineering This article proposes a recent novel metaheuristic optimization technique: Moth-Flame Optimizer (MFO) to solve one of the most important problems in the power system namely Optimal power flow (OPF). Three objective functions will be solved simultaneously: minimizing fuel cost, transmission loss, and voltage deviation minimization using a weighted factor. To show the effectiveness of proposed MFO in solving the mentioned problem, the IEEE 30-bus test system will be used. Then the obtained result from the MFO algorithm is compared with other selected well-known algorithms. The comparison proves that MFO gives better results compared to the other compared algorithms. MFO gives a reduction of 14.50% compared to 13.38 and 14.15% for artificial bee colony (ABC) and Improved Grey Wolf Optimizer (IGWO) respectively Springer Singapore 2020-07-08 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/31645/1/Optimal%20Power%20Flow%20Solutions%20for%20Power%20System%20Operations%20Using%20Moth-Flame%20Optimization%20Algorithm.pdf Alabd, Salman and Mohd Herwan, Sulaiman and Muhammad Ikram, Mohd Rashid (2020) Optimal power flow solutions for power system operations using moth-flame optimization algorithm. In: 11th National Technical Seminar on Unmanned System Technology 2019 (NUSYS’19) , 2 - 3 December 2019 , UMP Gambang, Pahang. pp. 207-219., 666. ISSN 978-981-15-5280-9 ISBN 978-981-15-5281-6 (Published) https://link.springer.com/chapter/10.1007/978-981-15-5281-6_15 https://doi.org/10.1007/978-981-15- 5281-6_15 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Alabd, Salman Mohd Herwan, Sulaiman Muhammad Ikram, Mohd Rashid Optimal power flow solutions for power system operations using moth-flame optimization algorithm |
| title | Optimal power flow solutions for power system operations using moth-flame optimization algorithm |
| title_full | Optimal power flow solutions for power system operations using moth-flame optimization algorithm |
| title_fullStr | Optimal power flow solutions for power system operations using moth-flame optimization algorithm |
| title_full_unstemmed | Optimal power flow solutions for power system operations using moth-flame optimization algorithm |
| title_short | Optimal power flow solutions for power system operations using moth-flame optimization algorithm |
| title_sort | optimal power flow solutions for power system operations using moth-flame optimization algorithm |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/31645/ http://umpir.ump.edu.my/id/eprint/31645/ http://umpir.ump.edu.my/id/eprint/31645/ http://umpir.ump.edu.my/id/eprint/31645/1/Optimal%20Power%20Flow%20Solutions%20for%20Power%20System%20Operations%20Using%20Moth-Flame%20Optimization%20Algorithm.pdf |