Research on a topology identification method for distribution areas using multi-dimensional electrical characteristic parameters
To address the issues of low accuracy and stability in traditional topology recognition methods that rely on single electrical characteristic parameters， a new method for topology identification in distribution areas using multi-dimensional electrical characteristic parameters is proposed. Firstly，...
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| Format: | Article |
| Language: | zho |
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zhejiang electric power
2024-12-01
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| Series: | Zhejiang dianli |
| Subjects: | |
| Online Access: | https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=9dbda57e-8e31-4422-8ed8-1f3b568cd773 |
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| _version_ | 1846099913737240576 |
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| author | WANG Jun ZHU Liang GAO Jing KANG Shouxin ZHANG Yangfan YOU Xiaohui WU Dongwen |
| author_facet | WANG Jun ZHU Liang GAO Jing KANG Shouxin ZHANG Yangfan YOU Xiaohui WU Dongwen |
| author_sort | WANG Jun |
| collection | DOAJ |
| description | To address the issues of low accuracy and stability in traditional topology recognition methods that rely on single electrical characteristic parameters， a new method for topology identification in distribution areas using multi-dimensional electrical characteristic parameters is proposed. Firstly， synchronization of node time within distribution areas is achieved by compensating for the absolute time broadcast by the beacon and the transmission delay of the beacon. Secondly， by using synchronous node data acquisition and edge processing， an efficient data compression mechanism is established to enable the efficient collection and transmission of multi-dimensional characteristic parameters. Additionally， by monitoring surrounding nodes， a neighboring node set is created to reduce the scope of topology calculations. Finally， the paper proposes a topology identification method based on the fuzzy matrix algorithm， utilizing voltage， current， and power characteristic parameters， and validates it with examples. The results demonstrate that the proposed method achieves an accuracy of over 94.12%， surpassing traditional topology recognition methods that rely on single electrical characteristic parameters in both accuracy and robustness. |
| format | Article |
| id | doaj-art-c67ab6028c434b7f85fd3dae2ed2a76d |
| institution | Kabale University |
| issn | 1007-1881 |
| language | zho |
| publishDate | 2024-12-01 |
| publisher | zhejiang electric power |
| record_format | Article |
| series | Zhejiang dianli |
| spelling | doaj-art-c67ab6028c434b7f85fd3dae2ed2a76d2024-12-31T01:11:09Zzhozhejiang electric powerZhejiang dianli1007-18812024-12-01431211412110.19585/j.zjdl.2024120121007-1881（2024）12-0114-08Research on a topology identification method for distribution areas using multi-dimensional electrical characteristic parametersWANG Jun0ZHU Liang1GAO Jing2KANG Shouxin3ZHANG Yangfan4YOU Xiaohui5WU Dongwen6State Grid Jiangxi Power Supply Service Management Center， Nanchang 330032， ChinaState Grid Jiangxi Power Supply Service Management Center， Nanchang 330032， ChinaState Grid Jiangxi Power Supply Service Management Center， Nanchang 330032， ChinaBeijing Smart Chip Microelectronic Technology Co.， Ltd.， Beijing 102200， ChinaState Grid Nanchang Electric Power Supply Company， Nanchang 330095， ChinaState Grid Jiangxi Power Supply Service Management Center， Nanchang 330032， ChinaState Grid Jiangxi Power Supply Service Management Center， Nanchang 330032， ChinaTo address the issues of low accuracy and stability in traditional topology recognition methods that rely on single electrical characteristic parameters， a new method for topology identification in distribution areas using multi-dimensional electrical characteristic parameters is proposed. Firstly， synchronization of node time within distribution areas is achieved by compensating for the absolute time broadcast by the beacon and the transmission delay of the beacon. Secondly， by using synchronous node data acquisition and edge processing， an efficient data compression mechanism is established to enable the efficient collection and transmission of multi-dimensional characteristic parameters. Additionally， by monitoring surrounding nodes， a neighboring node set is created to reduce the scope of topology calculations. Finally， the paper proposes a topology identification method based on the fuzzy matrix algorithm， utilizing voltage， current， and power characteristic parameters， and validates it with examples. The results demonstrate that the proposed method achieves an accuracy of over 94.12%， surpassing traditional topology recognition methods that rely on single electrical characteristic parameters in both accuracy and robustness.https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=9dbda57e-8e31-4422-8ed8-1f3b568cd773distribution areatopology identificationsynchronous acquisitionneighboring node setfuzzy matrix |
| spellingShingle | WANG Jun ZHU Liang GAO Jing KANG Shouxin ZHANG Yangfan YOU Xiaohui WU Dongwen Research on a topology identification method for distribution areas using multi-dimensional electrical characteristic parameters Zhejiang dianli distribution area topology identification synchronous acquisition neighboring node set fuzzy matrix |
| title | Research on a topology identification method for distribution areas using multi-dimensional electrical characteristic parameters |
| title_full | Research on a topology identification method for distribution areas using multi-dimensional electrical characteristic parameters |
| title_fullStr | Research on a topology identification method for distribution areas using multi-dimensional electrical characteristic parameters |
| title_full_unstemmed | Research on a topology identification method for distribution areas using multi-dimensional electrical characteristic parameters |
| title_short | Research on a topology identification method for distribution areas using multi-dimensional electrical characteristic parameters |
| title_sort | research on a topology identification method for distribution areas using multi dimensional electrical characteristic parameters |
| topic | distribution area topology identification synchronous acquisition neighboring node set fuzzy matrix |
| url | https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=9dbda57e-8e31-4422-8ed8-1f3b568cd773 |
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