Optimal multi-objective reconfiguration and capacitor placement of distribution systems with the Hybrid Big Bang–Big Crunch algorithm in the fuzzy framework
Network reconfiguration and capacitor placement are useful options applied to reduce power losses and to keep voltage profiles within permissible limits in distribution systems. This study presents an efficient algorithm for optimization of balanced and unbalanced radial distribution systems by a ne...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Elsevier
2016-03-01
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| Series: | Ain Shams Engineering Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S209044791600006X |
| _version_ | 1818621199476850688 |
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| author | Mostafa Sedighizadeh Reza Bakhtiary |
| author_facet | Mostafa Sedighizadeh Reza Bakhtiary |
| author_sort | Mostafa Sedighizadeh |
| collection | DOAJ |
| description | Network reconfiguration and capacitor placement are useful options applied to reduce power losses and to keep voltage profiles within permissible limits in distribution systems. This study presents an efficient algorithm for optimization of balanced and unbalanced radial distribution systems by a network reconfiguration and capacitor placement. An important property of the proposed approach is solving the multi-objective reconfiguration and capacitor placement in fuzzy framework and its high accuracy and fast convergence. The considered objectives are the minimization of total network real power losses, the minimization of buses voltage violation, and load balancing in the feeders. The proposed algorithm has been implemented in three IEEE test systems (two balanced and one unbalanced systems). Numerical results obtained by simulation show that the performance of the Hybrid Big Bang Big Crunch (HBB–BC) algorithm is slightly higher than or similar to other meta-heuristic algorithms. |
| first_indexed | 2024-12-16T18:05:29Z |
| format | Article |
| id | doaj.art-a446d979da6f4f3bb7a6caddb5110a7a |
| institution | Directory Open Access Journal |
| issn | 2090-4479 |
| language | English |
| last_indexed | 2024-12-16T18:05:29Z |
| publishDate | 2016-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ain Shams Engineering Journal |
| spelling | doaj.art-a446d979da6f4f3bb7a6caddb5110a7a2022-12-21T22:21:55ZengElsevierAin Shams Engineering Journal2090-44792016-03-017111312910.1016/j.asej.2015.11.018Optimal multi-objective reconfiguration and capacitor placement of distribution systems with the Hybrid Big Bang–Big Crunch algorithm in the fuzzy frameworkMostafa SedighizadehReza BakhtiaryNetwork reconfiguration and capacitor placement are useful options applied to reduce power losses and to keep voltage profiles within permissible limits in distribution systems. This study presents an efficient algorithm for optimization of balanced and unbalanced radial distribution systems by a network reconfiguration and capacitor placement. An important property of the proposed approach is solving the multi-objective reconfiguration and capacitor placement in fuzzy framework and its high accuracy and fast convergence. The considered objectives are the minimization of total network real power losses, the minimization of buses voltage violation, and load balancing in the feeders. The proposed algorithm has been implemented in three IEEE test systems (two balanced and one unbalanced systems). Numerical results obtained by simulation show that the performance of the Hybrid Big Bang Big Crunch (HBB–BC) algorithm is slightly higher than or similar to other meta-heuristic algorithms.http://www.sciencedirect.com/science/article/pii/S209044791600006XOptimal reconfigurationCapacitor placementHybrid Big Bang–Big CrunchMulti-objective optimizationDistribution systems |
| spellingShingle | Mostafa Sedighizadeh Reza Bakhtiary Optimal multi-objective reconfiguration and capacitor placement of distribution systems with the Hybrid Big Bang–Big Crunch algorithm in the fuzzy framework Ain Shams Engineering Journal Optimal reconfiguration Capacitor placement Hybrid Big Bang–Big Crunch Multi-objective optimization Distribution systems |
| title | Optimal multi-objective reconfiguration and capacitor placement of distribution systems with the Hybrid Big Bang–Big Crunch algorithm in the fuzzy framework |
| title_full | Optimal multi-objective reconfiguration and capacitor placement of distribution systems with the Hybrid Big Bang–Big Crunch algorithm in the fuzzy framework |
| title_fullStr | Optimal multi-objective reconfiguration and capacitor placement of distribution systems with the Hybrid Big Bang–Big Crunch algorithm in the fuzzy framework |
| title_full_unstemmed | Optimal multi-objective reconfiguration and capacitor placement of distribution systems with the Hybrid Big Bang–Big Crunch algorithm in the fuzzy framework |
| title_short | Optimal multi-objective reconfiguration and capacitor placement of distribution systems with the Hybrid Big Bang–Big Crunch algorithm in the fuzzy framework |
| title_sort | optimal multi objective reconfiguration and capacitor placement of distribution systems with the hybrid big bang big crunch algorithm in the fuzzy framework |
| topic | Optimal reconfiguration Capacitor placement Hybrid Big Bang–Big Crunch Multi-objective optimization Distribution systems |
| url | http://www.sciencedirect.com/science/article/pii/S209044791600006X |
| work_keys_str_mv | AT mostafasedighizadeh optimalmultiobjectivereconfigurationandcapacitorplacementofdistributionsystemswiththehybridbigbangbigcrunchalgorithminthefuzzyframework AT rezabakhtiary optimalmultiobjectivereconfigurationandcapacitorplacementofdistributionsystemswiththehybridbigbangbigcrunchalgorithminthefuzzyframework |