Voltage sag severity evaluation based on multiple line characteristic factors fusion
The existing methods for evaluating voltage sag severity do not sufficiently consider the effect of the multiple line characteristic factors on the line failure probability, which leads to a large error in the evaluation results. Therefore, an evaluation method for voltage sag severity based on mult...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Electric Power Engineering Technology
2024-03-01
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| Series: | 电力工程技术 |
| Subjects: | |
| Online Access: | https://www.epet-info.com/dlgcjsen/article/abstract/220908284 |
| _version_ | 1797246685822320640 |
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| author | XU Fangwei HE Dong GUO Kai LONG Chenrui |
| author_facet | XU Fangwei HE Dong GUO Kai LONG Chenrui |
| author_sort | XU Fangwei |
| collection | DOAJ |
| description | The existing methods for evaluating voltage sag severity do not sufficiently consider the effect of the multiple line characteristic factors on the line failure probability, which leads to a large error in the evaluation results. Therefore, an evaluation method for voltage sag severity based on multiple line characteristic factors fusion is proposed. Firstly, based on line historical fault data, the influence degree of multiple line characteristic factors on line fault which employ association rules to quantify is researched. Secondly, by improving the D-S evidence theory to fuse multiple line characteristic factors, an accurate line annual failure probability model is established, and the voltage sag severity of nodes by introducing maximum entropy into the method of fault positions are obtained. Finally, a comprehensive voltage sag severity index considering both voltage sag severity of power grid side and tolerance characteristics of sensitive equipment on the user side is proposed to evaluate node voltage sag severity. Based on the actual power quality monitoring data for validation and comparison with the evaluation cases that do not fully consider the line characteristic factors, the results show that the proposed method can effectively improve the accuracy of voltage sag severity evaluation. |
| first_indexed | 2024-04-24T19:46:44Z |
| format | Article |
| id | doaj.art-d0bde094a40f4e029255ae890ba0f36e |
| institution | Directory Open Access Journal |
| issn | 2096-3203 |
| language | zho |
| last_indexed | 2024-04-24T19:46:44Z |
| publishDate | 2024-03-01 |
| publisher | Editorial Department of Electric Power Engineering Technology |
| record_format | Article |
| series | 电力工程技术 |
| spelling | doaj.art-d0bde094a40f4e029255ae890ba0f36e2024-03-25T06:32:59ZzhoEditorial Department of Electric Power Engineering Technology电力工程技术2096-32032024-03-014329410410.12158/j.2096-3203.2024.02.010220908284Voltage sag severity evaluation based on multiple line characteristic factors fusionXU Fangwei0HE Dong1GUO Kai2LONG Chenrui3College of Electrical Engineering, Sichuan University, Chengdu 610065, ChinaCollege of Electrical Engineering, Sichuan University, Chengdu 610065, ChinaCollege of Electrical Engineering, Sichuan University, Chengdu 610065, ChinaCollege of Electrical Engineering, Sichuan University, Chengdu 610065, ChinaThe existing methods for evaluating voltage sag severity do not sufficiently consider the effect of the multiple line characteristic factors on the line failure probability, which leads to a large error in the evaluation results. Therefore, an evaluation method for voltage sag severity based on multiple line characteristic factors fusion is proposed. Firstly, based on line historical fault data, the influence degree of multiple line characteristic factors on line fault which employ association rules to quantify is researched. Secondly, by improving the D-S evidence theory to fuse multiple line characteristic factors, an accurate line annual failure probability model is established, and the voltage sag severity of nodes by introducing maximum entropy into the method of fault positions are obtained. Finally, a comprehensive voltage sag severity index considering both voltage sag severity of power grid side and tolerance characteristics of sensitive equipment on the user side is proposed to evaluate node voltage sag severity. Based on the actual power quality monitoring data for validation and comparison with the evaluation cases that do not fully consider the line characteristic factors, the results show that the proposed method can effectively improve the accuracy of voltage sag severity evaluation.https://www.epet-info.com/dlgcjsen/article/abstract/220908284voltage sagvoltage sag severityline characteristic factorsassociation rulesimproving the d-s evidence theoryline annual failure probabilitysensitive equipment |
| spellingShingle | XU Fangwei HE Dong GUO Kai LONG Chenrui Voltage sag severity evaluation based on multiple line characteristic factors fusion 电力工程技术 voltage sag voltage sag severity line characteristic factors association rules improving the d-s evidence theory line annual failure probability sensitive equipment |
| title | Voltage sag severity evaluation based on multiple line characteristic factors fusion |
| title_full | Voltage sag severity evaluation based on multiple line characteristic factors fusion |
| title_fullStr | Voltage sag severity evaluation based on multiple line characteristic factors fusion |
| title_full_unstemmed | Voltage sag severity evaluation based on multiple line characteristic factors fusion |
| title_short | Voltage sag severity evaluation based on multiple line characteristic factors fusion |
| title_sort | voltage sag severity evaluation based on multiple line characteristic factors fusion |
| topic | voltage sag voltage sag severity line characteristic factors association rules improving the d-s evidence theory line annual failure probability sensitive equipment |
| url | https://www.epet-info.com/dlgcjsen/article/abstract/220908284 |
| work_keys_str_mv | AT xufangwei voltagesagseverityevaluationbasedonmultiplelinecharacteristicfactorsfusion AT hedong voltagesagseverityevaluationbasedonmultiplelinecharacteristicfactorsfusion AT guokai voltagesagseverityevaluationbasedonmultiplelinecharacteristicfactorsfusion AT longchenrui voltagesagseverityevaluationbasedonmultiplelinecharacteristicfactorsfusion |