Ant Lion Optimizer for Optimal Reactive Power Dispatch Solution
This paper proposes the application of the recent meta-heuristic method namely Ant Lion Optimizer (ALO) in solving Optimal Reactive Power Dispatch (ORPD) problem. The objective is to minimize the transmission losses by finding the best combination of control variables including generator voltages, t...
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| Format: | Article |
| Language: | English |
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JES
2015
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| Online Access: | http://umpir.ump.edu.my/id/eprint/11955/ http://umpir.ump.edu.my/id/eprint/11955/1/Ant%20lion%20optimizer%20for%20optimal%20reactive%20power%20dispatch%20solution.pdf |
| _version_ | 1848819114219405312 |
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| author | Rebecca Ng, Shin Mei M. H., Sulaiman Zuriani, Mustaffa |
| author_facet | Rebecca Ng, Shin Mei M. H., Sulaiman Zuriani, Mustaffa |
| author_sort | Rebecca Ng, Shin Mei |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | This paper proposes the application of the recent meta-heuristic method namely Ant Lion Optimizer (ALO) in solving Optimal Reactive Power Dispatch (ORPD) problem. The objective is to minimize the transmission losses by finding the best combination of control variables including generator voltages, transformer tap ratios and reactive compensation devices. In order to show the effectiveness of ALO in solving ORPD, IEEE 30-bus system is utilized. The comparison with other methods also reported in this paper. |
| first_indexed | 2025-11-15T01:48:24Z |
| format | Article |
| id | ump-11955 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T01:48:24Z |
| publishDate | 2015 |
| publisher | JES |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-119552019-10-30T03:38:23Z http://umpir.ump.edu.my/id/eprint/11955/ Ant Lion Optimizer for Optimal Reactive Power Dispatch Solution Rebecca Ng, Shin Mei M. H., Sulaiman Zuriani, Mustaffa QA76 Computer software TK Electrical engineering. Electronics Nuclear engineering This paper proposes the application of the recent meta-heuristic method namely Ant Lion Optimizer (ALO) in solving Optimal Reactive Power Dispatch (ORPD) problem. The objective is to minimize the transmission losses by finding the best combination of control variables including generator voltages, transformer tap ratios and reactive compensation devices. In order to show the effectiveness of ALO in solving ORPD, IEEE 30-bus system is utilized. The comparison with other methods also reported in this paper. JES 2015 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/11955/1/Ant%20lion%20optimizer%20for%20optimal%20reactive%20power%20dispatch%20solution.pdf Rebecca Ng, Shin Mei and M. H., Sulaiman and Zuriani, Mustaffa (2015) Ant Lion Optimizer for Optimal Reactive Power Dispatch Solution. Journal of Electrical Systems, Sp Iss (3). pp. 67-74. ISSN 1112-5209. (Published) http://journal.esrgroups.org/jes/papers/AMPE2015_JES_9_.pdf |
| spellingShingle | QA76 Computer software TK Electrical engineering. Electronics Nuclear engineering Rebecca Ng, Shin Mei M. H., Sulaiman Zuriani, Mustaffa Ant Lion Optimizer for Optimal Reactive Power Dispatch Solution |
| title | Ant Lion Optimizer for Optimal Reactive Power Dispatch Solution |
| title_full | Ant Lion Optimizer for Optimal Reactive Power Dispatch Solution |
| title_fullStr | Ant Lion Optimizer for Optimal Reactive Power Dispatch Solution |
| title_full_unstemmed | Ant Lion Optimizer for Optimal Reactive Power Dispatch Solution |
| title_short | Ant Lion Optimizer for Optimal Reactive Power Dispatch Solution |
| title_sort | ant lion optimizer for optimal reactive power dispatch solution |
| topic | QA76 Computer software TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/11955/ http://umpir.ump.edu.my/id/eprint/11955/ http://umpir.ump.edu.my/id/eprint/11955/1/Ant%20lion%20optimizer%20for%20optimal%20reactive%20power%20dispatch%20solution.pdf |