Self-Adaptive Firefly-Algorithm-Based Unified Power Flow Controller Placement with Single Objectives
The selection of positions for unified power flow controller (UPFC) placement in transmission network is an essential factor, which aids in operating the system in a more reliable and secured manner. This paper focuses on strengthening the power system performance through UPFC placement employing se...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2021/5571434 |
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| author | Selvarasu Ranganathan S. Rajkumar |
| author_facet | Selvarasu Ranganathan S. Rajkumar |
| author_sort | Selvarasu Ranganathan |
| collection | DOAJ |
| description | The selection of positions for unified power flow controller (UPFC) placement in transmission network is an essential factor, which aids in operating the system in a more reliable and secured manner. This paper focuses on strengthening the power system performance through UPFC placement employing self-adaptive firefly algorithm (SAFA), which selects the best positions along with parameters for UPFC placement. Three single objectives of real power loss reduction, voltage profile improvement, and voltage stability enhancement are considered in this work. IEEE 14, 30, and 57 test systems are selected to accomplish the simulations and to reveal the efficacy of the proposed SAFA approach; besides, solutions are compared with two other algorithms solutions of honey bee algorithm (HBA) and bacterial foraging algorithm (BFA). The proposed SAFA contributes real power loss reduction, voltage profile improvement, and voltage stability enhancement by optimally choosing the placement for UPFC. |
| format | Article |
| id | doaj-art-d946d7a6e21d44d199c011a87b73ae68 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-d946d7a6e21d44d199c011a87b73ae682025-02-03T06:12:51ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/55714345571434Self-Adaptive Firefly-Algorithm-Based Unified Power Flow Controller Placement with Single ObjectivesSelvarasu Ranganathan0S. Rajkumar1Department of Electrical Engineering, School of Electrical Engineering and Computing, Adama Science and Technology University (ASTU), Adama, EthiopiaDepartment of Electronics and Communication Engineering, School of Electrical Engineering and Computing, Adama Science and Technology University (ASTU), Adama, EthiopiaThe selection of positions for unified power flow controller (UPFC) placement in transmission network is an essential factor, which aids in operating the system in a more reliable and secured manner. This paper focuses on strengthening the power system performance through UPFC placement employing self-adaptive firefly algorithm (SAFA), which selects the best positions along with parameters for UPFC placement. Three single objectives of real power loss reduction, voltage profile improvement, and voltage stability enhancement are considered in this work. IEEE 14, 30, and 57 test systems are selected to accomplish the simulations and to reveal the efficacy of the proposed SAFA approach; besides, solutions are compared with two other algorithms solutions of honey bee algorithm (HBA) and bacterial foraging algorithm (BFA). The proposed SAFA contributes real power loss reduction, voltage profile improvement, and voltage stability enhancement by optimally choosing the placement for UPFC.http://dx.doi.org/10.1155/2021/5571434 |
| spellingShingle | Selvarasu Ranganathan S. Rajkumar Self-Adaptive Firefly-Algorithm-Based Unified Power Flow Controller Placement with Single Objectives Complexity |
| title | Self-Adaptive Firefly-Algorithm-Based Unified Power Flow Controller Placement with Single Objectives |
| title_full | Self-Adaptive Firefly-Algorithm-Based Unified Power Flow Controller Placement with Single Objectives |
| title_fullStr | Self-Adaptive Firefly-Algorithm-Based Unified Power Flow Controller Placement with Single Objectives |
| title_full_unstemmed | Self-Adaptive Firefly-Algorithm-Based Unified Power Flow Controller Placement with Single Objectives |
| title_short | Self-Adaptive Firefly-Algorithm-Based Unified Power Flow Controller Placement with Single Objectives |
| title_sort | self adaptive firefly algorithm based unified power flow controller placement with single objectives |
| url | http://dx.doi.org/10.1155/2021/5571434 |
| work_keys_str_mv | AT selvarasuranganathan selfadaptivefireflyalgorithmbasedunifiedpowerflowcontrollerplacementwithsingleobjectives AT srajkumar selfadaptivefireflyalgorithmbasedunifiedpowerflowcontrollerplacementwithsingleobjectives |