Multi-Objective Artificial Bee Colony Algorithm with Minimum Manhattan Distance for Passive Power Filter Optimization Problems
Passive power filters (PPFs) are most effective in mitigating harmonic pollution from power systems; however, the design of PPFs involves several objectives, which makes them a complex multiple-objective optimization problem. This study proposes a method to achieve an optimal design of PPFs. We have...
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| Format: | Article |
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MDPI AG
2021-12-01
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| Series: | Mathematics |
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| Online Access: | https://www.mdpi.com/2227-7390/9/24/3187 |
| _version_ | 1797502651153252352 |
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| author | Nien-Che Yang Danish Mehmood Kai-You Lai |
| author_facet | Nien-Che Yang Danish Mehmood Kai-You Lai |
| author_sort | Nien-Che Yang |
| collection | DOAJ |
| description | Passive power filters (PPFs) are most effective in mitigating harmonic pollution from power systems; however, the design of PPFs involves several objectives, which makes them a complex multiple-objective optimization problem. This study proposes a method to achieve an optimal design of PPFs. We have developed a new multi-objective optimization method based on an artificial bee colony (ABC) algorithm with a minimum Manhattan distance. Four different types of PPFs, namely, single-tuned, second-order damped, third-order damped, and C-type damped order filters, and their characteristics were considered in this study. A series of case studies have been presented to prove the efficiency and better performance of the proposed method over previous well-known algorithms. |
| first_indexed | 2024-03-10T03:38:10Z |
| format | Article |
| id | doaj.art-74b0cbb0e18a49e0a74e91d2510b84c6 |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-10T03:38:10Z |
| publishDate | 2021-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-74b0cbb0e18a49e0a74e91d2510b84c62023-11-23T09:25:26ZengMDPI AGMathematics2227-73902021-12-01924318710.3390/math9243187Multi-Objective Artificial Bee Colony Algorithm with Minimum Manhattan Distance for Passive Power Filter Optimization ProblemsNien-Che Yang0Danish Mehmood1Kai-You Lai2Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei 10607, TaiwanDepartment of Electrical Engineering, National Taiwan University of Science and Technology, Taipei 10607, TaiwanDepartment of Electrical Engineering, National Taiwan University of Science and Technology, Taipei 10607, TaiwanPassive power filters (PPFs) are most effective in mitigating harmonic pollution from power systems; however, the design of PPFs involves several objectives, which makes them a complex multiple-objective optimization problem. This study proposes a method to achieve an optimal design of PPFs. We have developed a new multi-objective optimization method based on an artificial bee colony (ABC) algorithm with a minimum Manhattan distance. Four different types of PPFs, namely, single-tuned, second-order damped, third-order damped, and C-type damped order filters, and their characteristics were considered in this study. A series of case studies have been presented to prove the efficiency and better performance of the proposed method over previous well-known algorithms.https://www.mdpi.com/2227-7390/9/24/3187artificial bee colony algorithmharmonicPareto frontpassive power filtersminimum Manhattan distance |
| spellingShingle | Nien-Che Yang Danish Mehmood Kai-You Lai Multi-Objective Artificial Bee Colony Algorithm with Minimum Manhattan Distance for Passive Power Filter Optimization Problems Mathematics artificial bee colony algorithm harmonic Pareto front passive power filters minimum Manhattan distance |
| title | Multi-Objective Artificial Bee Colony Algorithm with Minimum Manhattan Distance for Passive Power Filter Optimization Problems |
| title_full | Multi-Objective Artificial Bee Colony Algorithm with Minimum Manhattan Distance for Passive Power Filter Optimization Problems |
| title_fullStr | Multi-Objective Artificial Bee Colony Algorithm with Minimum Manhattan Distance for Passive Power Filter Optimization Problems |
| title_full_unstemmed | Multi-Objective Artificial Bee Colony Algorithm with Minimum Manhattan Distance for Passive Power Filter Optimization Problems |
| title_short | Multi-Objective Artificial Bee Colony Algorithm with Minimum Manhattan Distance for Passive Power Filter Optimization Problems |
| title_sort | multi objective artificial bee colony algorithm with minimum manhattan distance for passive power filter optimization problems |
| topic | artificial bee colony algorithm harmonic Pareto front passive power filters minimum Manhattan distance |
| url | https://www.mdpi.com/2227-7390/9/24/3187 |
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