A multi-objective hybrid algorithm for feeder reconfiguration and planning of electrical distribution system
In this paper, a multi-objective Gravitational Search Algorithm (GSA) and Tabu search heuristic for feeder reconfiguration and planning of an electrical distribution system are proposed. In this strategy, the GSA has reduced the power losses and voltage deviations using relevant constraints. The opt...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Khon Kaen University
2019-12-01
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| Series: | Engineering and Applied Science Research |
| Subjects: | |
| Online Access: | https://www.tci-thaijo.org/index.php/easr/article/download/182402/155867/ |
| _version_ | 1818446501196595200 |
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| author | Kothuri Ramakrishna Basavaraja Banakara |
| author_facet | Kothuri Ramakrishna Basavaraja Banakara |
| author_sort | Kothuri Ramakrishna |
| collection | DOAJ |
| description | In this paper, a multi-objective Gravitational Search Algorithm (GSA) and Tabu search heuristic for feeder reconfiguration and planning of an electrical distribution system are proposed. In this strategy, the GSA has reduced the power losses and voltage deviations using relevant constraints. The optimal sizing of a distributed generator (DG) includes the best location with reduced electrical losses. The Gravitational Search Algorithm (GSA) hastens convergence with integration of a Tabu search heuristic. Then, the proposed multi-objective hybrid algorithm for planning an electrical distribution system is implemented on a MATLAB/Simulink platform. Its effectiveness is scrutinized by contrasting the results of the method under study with those of existing techniques such as ALO, LSA, CALMS and BBO-PSO. This comparison reveals the superiority of the proposed approach and affirms its potential to reduce power losses and voltage deviations. |
| first_indexed | 2024-12-14T19:48:43Z |
| format | Article |
| id | doaj.art-d7df4a42823449d193ea188df4d67ce0 |
| institution | Directory Open Access Journal |
| issn | 2539-6161 2539-6218 |
| language | English |
| last_indexed | 2024-12-14T19:48:43Z |
| publishDate | 2019-12-01 |
| publisher | Khon Kaen University |
| record_format | Article |
| series | Engineering and Applied Science Research |
| spelling | doaj.art-d7df4a42823449d193ea188df4d67ce02022-12-21T22:49:29ZengKhon Kaen UniversityEngineering and Applied Science Research2539-61612539-62182019-12-0146429230210.14456/easr.2019.33A multi-objective hybrid algorithm for feeder reconfiguration and planning of electrical distribution systemKothuri RamakrishnaBasavaraja BanakaraIn this paper, a multi-objective Gravitational Search Algorithm (GSA) and Tabu search heuristic for feeder reconfiguration and planning of an electrical distribution system are proposed. In this strategy, the GSA has reduced the power losses and voltage deviations using relevant constraints. The optimal sizing of a distributed generator (DG) includes the best location with reduced electrical losses. The Gravitational Search Algorithm (GSA) hastens convergence with integration of a Tabu search heuristic. Then, the proposed multi-objective hybrid algorithm for planning an electrical distribution system is implemented on a MATLAB/Simulink platform. Its effectiveness is scrutinized by contrasting the results of the method under study with those of existing techniques such as ALO, LSA, CALMS and BBO-PSO. This comparison reveals the superiority of the proposed approach and affirms its potential to reduce power losses and voltage deviations.https://www.tci-thaijo.org/index.php/easr/article/download/182402/155867/gsatabu searchdgpower lossvoltage deviationfeeder reconfiguration |
| spellingShingle | Kothuri Ramakrishna Basavaraja Banakara A multi-objective hybrid algorithm for feeder reconfiguration and planning of electrical distribution system Engineering and Applied Science Research gsa tabu search dg power loss voltage deviation feeder reconfiguration |
| title | A multi-objective hybrid algorithm for feeder reconfiguration and planning of electrical distribution system |
| title_full | A multi-objective hybrid algorithm for feeder reconfiguration and planning of electrical distribution system |
| title_fullStr | A multi-objective hybrid algorithm for feeder reconfiguration and planning of electrical distribution system |
| title_full_unstemmed | A multi-objective hybrid algorithm for feeder reconfiguration and planning of electrical distribution system |
| title_short | A multi-objective hybrid algorithm for feeder reconfiguration and planning of electrical distribution system |
| title_sort | multi objective hybrid algorithm for feeder reconfiguration and planning of electrical distribution system |
| topic | gsa tabu search dg power loss voltage deviation feeder reconfiguration |
| url | https://www.tci-thaijo.org/index.php/easr/article/download/182402/155867/ |
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