Research and application of intermittent partial discharge characteristics and easy-warning system for electric equipment
Intermittent partial discharge has become an essential threat to the safety and stability of high voltage electrical equipment. In order to reduce the sudden insulation breakdown failure due to the intermittent and latent partial discharge of the operating equipment, this paper analyzes the discharg...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-11-01
|
| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484722010046 |
| _version_ | 1797947088812638208 |
|---|---|
| author | Bo Niu, Dr Feiyue Ma Xutao Wu Hui Ni Xiu Zhou Hong Wu |
| author_facet | Bo Niu, Dr Feiyue Ma Xutao Wu Hui Ni Xiu Zhou Hong Wu |
| author_sort | Bo Niu, Dr |
| collection | DOAJ |
| description | Intermittent partial discharge has become an essential threat to the safety and stability of high voltage electrical equipment. In order to reduce the sudden insulation breakdown failure due to the intermittent and latent partial discharge of the operating equipment, this paper analyzes the discharge characteristics of the intermittent partial discharge in the constant voltage mode. The UHF partial discharge spectrum of typical intermittent partial discharges is obtained, and the intermittent discharges are divided into low-risk and high-risk categories by adopting PCA and FCM cluster algorithms. Aiming at the characteristics of intermittent partial discharge and the on-line monitoring method of partial discharge, a partial discharge signal collection method based on dynamic frequency is proposed. An intelligent monitoring system of intermittent partial discharge is designed to acquire partial discharge signals initially locate defects. Then the BP neural network method is applied to automatically evaluate and early warn the internal insulation status. The test concluded that the designed monitoring system for intermittent partial discharge could dynamically track and warn the low-risk and high-risk, and evaluate the insulation status of the equipment. |
| first_indexed | 2024-04-10T21:22:18Z |
| format | Article |
| id | doaj.art-e6ae2bbfc1a34c85a16a204c5b6326fb |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-04-10T21:22:18Z |
| publishDate | 2022-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-e6ae2bbfc1a34c85a16a204c5b6326fb2023-01-20T04:25:09ZengElsevierEnergy Reports2352-48472022-11-018217226Research and application of intermittent partial discharge characteristics and easy-warning system for electric equipmentBo Niu, Dr0Feiyue Ma1Xutao Wu2Hui Ni3Xiu Zhou4Hong Wu5Corresponding author.; Power Research Institute of State Grid Ningxia Power Co., Yinchuan, 750001, ChinaPower Research Institute of State Grid Ningxia Power Co., Yinchuan, 750001, ChinaPower Research Institute of State Grid Ningxia Power Co., Yinchuan, 750001, ChinaPower Research Institute of State Grid Ningxia Power Co., Yinchuan, 750001, ChinaPower Research Institute of State Grid Ningxia Power Co., Yinchuan, 750001, ChinaPower Research Institute of State Grid Ningxia Power Co., Yinchuan, 750001, ChinaIntermittent partial discharge has become an essential threat to the safety and stability of high voltage electrical equipment. In order to reduce the sudden insulation breakdown failure due to the intermittent and latent partial discharge of the operating equipment, this paper analyzes the discharge characteristics of the intermittent partial discharge in the constant voltage mode. The UHF partial discharge spectrum of typical intermittent partial discharges is obtained, and the intermittent discharges are divided into low-risk and high-risk categories by adopting PCA and FCM cluster algorithms. Aiming at the characteristics of intermittent partial discharge and the on-line monitoring method of partial discharge, a partial discharge signal collection method based on dynamic frequency is proposed. An intelligent monitoring system of intermittent partial discharge is designed to acquire partial discharge signals initially locate defects. Then the BP neural network method is applied to automatically evaluate and early warn the internal insulation status. The test concluded that the designed monitoring system for intermittent partial discharge could dynamically track and warn the low-risk and high-risk, and evaluate the insulation status of the equipment.http://www.sciencedirect.com/science/article/pii/S2352484722010046Long-interval sparsePartial dischargeDynamic trackingEasy-warningIntensive care |
| spellingShingle | Bo Niu, Dr Feiyue Ma Xutao Wu Hui Ni Xiu Zhou Hong Wu Research and application of intermittent partial discharge characteristics and easy-warning system for electric equipment Energy Reports Long-interval sparse Partial discharge Dynamic tracking Easy-warning Intensive care |
| title | Research and application of intermittent partial discharge characteristics and easy-warning system for electric equipment |
| title_full | Research and application of intermittent partial discharge characteristics and easy-warning system for electric equipment |
| title_fullStr | Research and application of intermittent partial discharge characteristics and easy-warning system for electric equipment |
| title_full_unstemmed | Research and application of intermittent partial discharge characteristics and easy-warning system for electric equipment |
| title_short | Research and application of intermittent partial discharge characteristics and easy-warning system for electric equipment |
| title_sort | research and application of intermittent partial discharge characteristics and easy warning system for electric equipment |
| topic | Long-interval sparse Partial discharge Dynamic tracking Easy-warning Intensive care |
| url | http://www.sciencedirect.com/science/article/pii/S2352484722010046 |
| work_keys_str_mv | AT boniudr researchandapplicationofintermittentpartialdischargecharacteristicsandeasywarningsystemforelectricequipment AT feiyuema researchandapplicationofintermittentpartialdischargecharacteristicsandeasywarningsystemforelectricequipment AT xutaowu researchandapplicationofintermittentpartialdischargecharacteristicsandeasywarningsystemforelectricequipment AT huini researchandapplicationofintermittentpartialdischargecharacteristicsandeasywarningsystemforelectricequipment AT xiuzhou researchandapplicationofintermittentpartialdischargecharacteristicsandeasywarningsystemforelectricequipment AT hongwu researchandapplicationofintermittentpartialdischargecharacteristicsandeasywarningsystemforelectricequipment |