Fault recovery strategy for urban distribution networks using soft open points
Abstract In recent years, the frequent occurrence of natural disasters has seriously threatened the security and stability of distribution networks. Amidst these natural disasters, researchers have increasingly focused on ensuring fault recovery in distribution networks. Soft open points (SOPs) are...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-02-01
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| Series: | Energy Conversion and Economics |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/enc2.12109 |
| _version_ | 1797290395997044736 |
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| author | Liangsheng Lan Guangqi Liu Sitong Zhu Min Hou Xinrui Liu |
| author_facet | Liangsheng Lan Guangqi Liu Sitong Zhu Min Hou Xinrui Liu |
| author_sort | Liangsheng Lan |
| collection | DOAJ |
| description | Abstract In recent years, the frequent occurrence of natural disasters has seriously threatened the security and stability of distribution networks. Amidst these natural disasters, researchers have increasingly focused on ensuring fault recovery in distribution networks. Soft open points (SOPs) are new types of power electronic devices that can effectively recover faults in distribution networks. When a fault occurs, SOPs can quickly block and isolate fault short‐circuit current, provide power access to non‐fault areas, and optimise the power flow of distribution networks. Based on the critical role of distributed generation (DG) power supply in fault recovery, this study proposes a method that leverages the synergistic capabilities of SOPs and DG to recover faults in distribution networks. By employing a binary particle swarm optimisation algorithm, this method effectively improves load recovery, reduces the number of switching operations, and minimises network loss. The proposed method was simulated and verified using the IEEE 33‐node and 99‐node systems. |
| first_indexed | 2024-03-07T19:20:51Z |
| format | Article |
| id | doaj.art-4588ba1b07b049cba036495655803a69 |
| institution | Directory Open Access Journal |
| issn | 2634-1581 |
| language | English |
| last_indexed | 2024-03-07T19:20:51Z |
| publishDate | 2024-02-01 |
| publisher | Wiley |
| record_format | Article |
| series | Energy Conversion and Economics |
| spelling | doaj.art-4588ba1b07b049cba036495655803a692024-02-29T10:57:39ZengWileyEnergy Conversion and Economics2634-15812024-02-0151283910.1049/enc2.12109Fault recovery strategy for urban distribution networks using soft open pointsLiangsheng Lan0Guangqi Liu1Sitong Zhu2Min Hou3Xinrui Liu4School of Artificial Intelligence and ManufacturingHechi UniversityYizhouChinaState Grid Dandong Electric Power Supply CompanyDandongLiaoningChinaCollege of Information Science and EngineeringNortheastern UniversityShenyangLiaoningChinaCollege of Information Science and EngineeringNortheastern UniversityShenyangLiaoningChinaCollege of Information Science and EngineeringNortheastern UniversityShenyangLiaoningChinaAbstract In recent years, the frequent occurrence of natural disasters has seriously threatened the security and stability of distribution networks. Amidst these natural disasters, researchers have increasingly focused on ensuring fault recovery in distribution networks. Soft open points (SOPs) are new types of power electronic devices that can effectively recover faults in distribution networks. When a fault occurs, SOPs can quickly block and isolate fault short‐circuit current, provide power access to non‐fault areas, and optimise the power flow of distribution networks. Based on the critical role of distributed generation (DG) power supply in fault recovery, this study proposes a method that leverages the synergistic capabilities of SOPs and DG to recover faults in distribution networks. By employing a binary particle swarm optimisation algorithm, this method effectively improves load recovery, reduces the number of switching operations, and minimises network loss. The proposed method was simulated and verified using the IEEE 33‐node and 99‐node systems.https://doi.org/10.1049/enc2.12109fault recoverysoft open pointsurban distribution networks |
| spellingShingle | Liangsheng Lan Guangqi Liu Sitong Zhu Min Hou Xinrui Liu Fault recovery strategy for urban distribution networks using soft open points Energy Conversion and Economics fault recovery soft open points urban distribution networks |
| title | Fault recovery strategy for urban distribution networks using soft open points |
| title_full | Fault recovery strategy for urban distribution networks using soft open points |
| title_fullStr | Fault recovery strategy for urban distribution networks using soft open points |
| title_full_unstemmed | Fault recovery strategy for urban distribution networks using soft open points |
| title_short | Fault recovery strategy for urban distribution networks using soft open points |
| title_sort | fault recovery strategy for urban distribution networks using soft open points |
| topic | fault recovery soft open points urban distribution networks |
| url | https://doi.org/10.1049/enc2.12109 |
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