Simple Quadratic Interpolation-Inspired Symbiosis Organisms Search Algorithm for Optimal Placement of Capacitors in Radial Distribution Networks with Different Loading Models
This paper proposes a novel hybrid algorithm based on a combination of the simple quadratic interpolation and the symbiosis organisms search algorithm (SQI-SOS) for finding the optimal location and size of capacitors in radial distribution networks. The objective of the problem is to minimize the sy...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2020/5493958 |
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| _version_ | 1832550593363705856 |
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| author | Tri Phuoc Nguyen Tuan Trong Nguyen Trung Hieu Quang Dieu Ngoc Vo |
| author_facet | Tri Phuoc Nguyen Tuan Trong Nguyen Trung Hieu Quang Dieu Ngoc Vo |
| author_sort | Tri Phuoc Nguyen |
| collection | DOAJ |
| description | This paper proposes a novel hybrid algorithm based on a combination of the simple quadratic interpolation and the symbiosis organisms search algorithm (SQI-SOS) for finding the optimal location and size of capacitors in radial distribution networks. The objective of the problem is to minimize the system operating cost so that the net yearly savings of the system are increased. The effectiveness of the SQI-SOS has been tested on 33-, 69-, and 119-bus radial distribution networks with different load models. The obtained results from the test system by the proposed SQI-SOS are compared with those from the conventional SOS and other mature optimization methods in the literature. The result comparison has shown that the proposed SQI-SOS algorithm can provide a better solution than the other methods. Accordingly, the proposed SQI-SOS can be a very effective and efficient method for dealing with the optimal capacitor placement problem in distribution networks. |
| format | Article |
| id | doaj-art-db883857ff5f4de3ba2e6d8eb957815f |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-db883857ff5f4de3ba2e6d8eb957815f2025-02-03T06:06:28ZengWileyComplexity1076-27871099-05262020-01-01202010.1155/2020/54939585493958Simple Quadratic Interpolation-Inspired Symbiosis Organisms Search Algorithm for Optimal Placement of Capacitors in Radial Distribution Networks with Different Loading ModelsTri Phuoc Nguyen0Tuan Trong Nguyen1Trung Hieu Quang2Dieu Ngoc Vo3Department of Power Systems, Ho Chi Minh City University of Technology (HCMUT), 268 Ly Thuong Kiet Street, District 10, Ho Chi Minh City, VietnamSouthern Electrical Testing Company, Southern Power Corporation, Electricity of Vietnam, 22 Bis Phan Dang Luu Street, District Binh Thanh, Ho Chi Minh City, VietnamSouthern Region Load Dispatch Center, National Load Dispatch Center, Electricity of Vietnam, 5 Su Thien Chieu Street, District 3, Ho Chi Minh City, VietnamDepartment of Power Systems, Ho Chi Minh City University of Technology (HCMUT), 268 Ly Thuong Kiet Street, District 10, Ho Chi Minh City, VietnamThis paper proposes a novel hybrid algorithm based on a combination of the simple quadratic interpolation and the symbiosis organisms search algorithm (SQI-SOS) for finding the optimal location and size of capacitors in radial distribution networks. The objective of the problem is to minimize the system operating cost so that the net yearly savings of the system are increased. The effectiveness of the SQI-SOS has been tested on 33-, 69-, and 119-bus radial distribution networks with different load models. The obtained results from the test system by the proposed SQI-SOS are compared with those from the conventional SOS and other mature optimization methods in the literature. The result comparison has shown that the proposed SQI-SOS algorithm can provide a better solution than the other methods. Accordingly, the proposed SQI-SOS can be a very effective and efficient method for dealing with the optimal capacitor placement problem in distribution networks.http://dx.doi.org/10.1155/2020/5493958 |
| spellingShingle | Tri Phuoc Nguyen Tuan Trong Nguyen Trung Hieu Quang Dieu Ngoc Vo Simple Quadratic Interpolation-Inspired Symbiosis Organisms Search Algorithm for Optimal Placement of Capacitors in Radial Distribution Networks with Different Loading Models Complexity |
| title | Simple Quadratic Interpolation-Inspired Symbiosis Organisms Search Algorithm for Optimal Placement of Capacitors in Radial Distribution Networks with Different Loading Models |
| title_full | Simple Quadratic Interpolation-Inspired Symbiosis Organisms Search Algorithm for Optimal Placement of Capacitors in Radial Distribution Networks with Different Loading Models |
| title_fullStr | Simple Quadratic Interpolation-Inspired Symbiosis Organisms Search Algorithm for Optimal Placement of Capacitors in Radial Distribution Networks with Different Loading Models |
| title_full_unstemmed | Simple Quadratic Interpolation-Inspired Symbiosis Organisms Search Algorithm for Optimal Placement of Capacitors in Radial Distribution Networks with Different Loading Models |
| title_short | Simple Quadratic Interpolation-Inspired Symbiosis Organisms Search Algorithm for Optimal Placement of Capacitors in Radial Distribution Networks with Different Loading Models |
| title_sort | simple quadratic interpolation inspired symbiosis organisms search algorithm for optimal placement of capacitors in radial distribution networks with different loading models |
| url | http://dx.doi.org/10.1155/2020/5493958 |
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