Multi-Objective Decision Approach for Optimal Real-Time Switching Sequence of Network Reconfiguration Realizing Maximum Load Capacity
One of the most famous methods for minimizing power loss is distribution network reconfiguration (DNR). Accordingly, many researchers have focused their work on finding a network’s optimal configuration in planning mode. However, few address the switching sequence process during operation mode. This...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-09-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/16/19/6779 |
| _version_ | 1797575936091095040 |
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| author | Ola Badran Jafar Jallad |
| author_facet | Ola Badran Jafar Jallad |
| author_sort | Ola Badran |
| collection | DOAJ |
| description | One of the most famous methods for minimizing power loss is distribution network reconfiguration (DNR). Accordingly, many researchers have focused their work on finding a network’s optimal configuration in planning mode. However, few address the switching sequence process during operation mode. This paper introduces an innovative approach to minimize power loss in distribution networks. It addresses the often-overlooked real-time switching sequence order (SSO) during network operation, ensuring a smooth transition to the optimal configuration within operational constraints. Simultaneously, it optimizes distribution network reconfiguration (DNR) and distributed generation location and sizing (DG-LS) to maximize load capacity. The primary goal is to reduce power losses, improve voltage profiles, and enhance network efficiency. Utilizing multi-objective decision methods based on AHP, particle swarm optimization (PSO), and firefly algorithm (FA), this study achieves efficient results for SSO, DNR, and DG-LS optimization. |
| first_indexed | 2024-03-10T21:45:22Z |
| format | Article |
| id | doaj.art-106e97b9fa9f417c97de9ae2ca1730d5 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T21:45:22Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-106e97b9fa9f417c97de9ae2ca1730d52023-11-19T14:18:47ZengMDPI AGEnergies1996-10732023-09-011619677910.3390/en16196779Multi-Objective Decision Approach for Optimal Real-Time Switching Sequence of Network Reconfiguration Realizing Maximum Load CapacityOla Badran0Jafar Jallad1Department of Electrical Engineering-Industrial Automation, Faculty of Engineering and Technology, Palestine Technical University—Kadoorie (PTUK), Tulkarm P.O. Box 7, PalestineDepartment of Electrical Engineering-Industrial Automation, Faculty of Engineering and Technology, Palestine Technical University—Kadoorie (PTUK), Tulkarm P.O. Box 7, PalestineOne of the most famous methods for minimizing power loss is distribution network reconfiguration (DNR). Accordingly, many researchers have focused their work on finding a network’s optimal configuration in planning mode. However, few address the switching sequence process during operation mode. This paper introduces an innovative approach to minimize power loss in distribution networks. It addresses the often-overlooked real-time switching sequence order (SSO) during network operation, ensuring a smooth transition to the optimal configuration within operational constraints. Simultaneously, it optimizes distribution network reconfiguration (DNR) and distributed generation location and sizing (DG-LS) to maximize load capacity. The primary goal is to reduce power losses, improve voltage profiles, and enhance network efficiency. Utilizing multi-objective decision methods based on AHP, particle swarm optimization (PSO), and firefly algorithm (FA), this study achieves efficient results for SSO, DNR, and DG-LS optimization.https://www.mdpi.com/1996-1073/16/19/6779switching sequence orderdistribution network reconfigurationmaximum load capacityDG location and sizingloss reductionvoltage profile |
| spellingShingle | Ola Badran Jafar Jallad Multi-Objective Decision Approach for Optimal Real-Time Switching Sequence of Network Reconfiguration Realizing Maximum Load Capacity Energies switching sequence order distribution network reconfiguration maximum load capacity DG location and sizing loss reduction voltage profile |
| title | Multi-Objective Decision Approach for Optimal Real-Time Switching Sequence of Network Reconfiguration Realizing Maximum Load Capacity |
| title_full | Multi-Objective Decision Approach for Optimal Real-Time Switching Sequence of Network Reconfiguration Realizing Maximum Load Capacity |
| title_fullStr | Multi-Objective Decision Approach for Optimal Real-Time Switching Sequence of Network Reconfiguration Realizing Maximum Load Capacity |
| title_full_unstemmed | Multi-Objective Decision Approach for Optimal Real-Time Switching Sequence of Network Reconfiguration Realizing Maximum Load Capacity |
| title_short | Multi-Objective Decision Approach for Optimal Real-Time Switching Sequence of Network Reconfiguration Realizing Maximum Load Capacity |
| title_sort | multi objective decision approach for optimal real time switching sequence of network reconfiguration realizing maximum load capacity |
| topic | switching sequence order distribution network reconfiguration maximum load capacity DG location and sizing loss reduction voltage profile |
| url | https://www.mdpi.com/1996-1073/16/19/6779 |
| work_keys_str_mv | AT olabadran multiobjectivedecisionapproachforoptimalrealtimeswitchingsequenceofnetworkreconfigurationrealizingmaximumloadcapacity AT jafarjallad multiobjectivedecisionapproachforoptimalrealtimeswitchingsequenceofnetworkreconfigurationrealizingmaximumloadcapacity |