GIS contact temperature prediction method based on multiple parameters
In order to prevent the faults caused by the overheating phenomena of gas insulated switchgear (GIS) contacts, it is necessary to monitor and predict the temperature of GIS contacts. In view of the problems that the temperature of contacts is not easy to be directly measured and the temperature is e...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Electric Power Engineering Technology
2024-01-01
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| Series: | 电力工程技术 |
| Subjects: | |
| Online Access: | https://www.epet-info.com/dlgcjsen/article/abstract/230214117 |
| _version_ | 1797346966173122560 |
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| author | LIU Yuxuan XU Zhiniu HU Weitao ZHAO Hanwu ZHAO Lijuan JIN Hu |
| author_facet | LIU Yuxuan XU Zhiniu HU Weitao ZHAO Hanwu ZHAO Lijuan JIN Hu |
| author_sort | LIU Yuxuan |
| collection | DOAJ |
| description | In order to prevent the faults caused by the overheating phenomena of gas insulated switchgear (GIS) contacts, it is necessary to monitor and predict the temperature of GIS contacts. In view of the problems that the temperature of contacts is not easy to be directly measured and the temperature is easily affected by the operation conditions and external factors, a prediction method of GIS contact temperature based on multiple parameters is proposed in this work. The temperature distribution law of GIS under different influencing factors is investigated by employing a three-dimensional simulation model. The influencing factors are contact resistance, load current, ambient temperature, wind speed, SF6 pressure and solar radiation intensity. The reliability of the model is validated by use of heat circuit model. The results indicate that the key factors to predict the contact temperature are the shell temperature rise, load current, wind speed, SF6 pressure and solar radiation intensity. At the same time, the influence of ambient temperature can be ignored. Further, the back propagation (BP) neural network is adopted to predict the temperature rise of the contacts with the above factors. The predicted temperature rise is compared with the calculated one of the model, and the error is in the range of -0.70~0.68 ℃. The method comprehensively takes into account the influence of various factors on the GIS temperature field, and it helps to give a reference for the temperature prediction of GIS contacts based on external sensors. |
| first_indexed | 2024-03-08T11:39:38Z |
| format | Article |
| id | doaj.art-a96ccc2c15274a30a8720f5e93fbb470 |
| institution | Directory Open Access Journal |
| issn | 2096-3203 |
| language | zho |
| last_indexed | 2024-03-08T11:39:38Z |
| publishDate | 2024-01-01 |
| publisher | Editorial Department of Electric Power Engineering Technology |
| record_format | Article |
| series | 电力工程技术 |
| spelling | doaj.art-a96ccc2c15274a30a8720f5e93fbb4702024-01-25T07:27:35ZzhoEditorial Department of Electric Power Engineering Technology电力工程技术2096-32032024-01-0143121221910.12158/j.2096-3203.2024.01.023230214117GIS contact temperature prediction method based on multiple parametersLIU Yuxuan0XU Zhiniu1HU Weitao2ZHAO Hanwu3ZHAO Lijuan4JIN Hu5School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, ChinaSchool of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, ChinaState Grid Hebei Extra High Voltage Company, Shijiazhuang 050070, ChinaSchool of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, ChinaSchool of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, ChinaElectric Power Research Institute of China Southern Power Grid Company Limited, Guangzhou 510663, ChinaIn order to prevent the faults caused by the overheating phenomena of gas insulated switchgear (GIS) contacts, it is necessary to monitor and predict the temperature of GIS contacts. In view of the problems that the temperature of contacts is not easy to be directly measured and the temperature is easily affected by the operation conditions and external factors, a prediction method of GIS contact temperature based on multiple parameters is proposed in this work. The temperature distribution law of GIS under different influencing factors is investigated by employing a three-dimensional simulation model. The influencing factors are contact resistance, load current, ambient temperature, wind speed, SF6 pressure and solar radiation intensity. The reliability of the model is validated by use of heat circuit model. The results indicate that the key factors to predict the contact temperature are the shell temperature rise, load current, wind speed, SF6 pressure and solar radiation intensity. At the same time, the influence of ambient temperature can be ignored. Further, the back propagation (BP) neural network is adopted to predict the temperature rise of the contacts with the above factors. The predicted temperature rise is compared with the calculated one of the model, and the error is in the range of -0.70~0.68 ℃. The method comprehensively takes into account the influence of various factors on the GIS temperature field, and it helps to give a reference for the temperature prediction of GIS contacts based on external sensors.https://www.epet-info.com/dlgcjsen/article/abstract/230214117gas insulated switchgear (gis)multi-physics field couplingfinite element methodback propagation (bp) neural networktemperature predictionheat circuit theory |
| spellingShingle | LIU Yuxuan XU Zhiniu HU Weitao ZHAO Hanwu ZHAO Lijuan JIN Hu GIS contact temperature prediction method based on multiple parameters 电力工程技术 gas insulated switchgear (gis) multi-physics field coupling finite element method back propagation (bp) neural network temperature prediction heat circuit theory |
| title | GIS contact temperature prediction method based on multiple parameters |
| title_full | GIS contact temperature prediction method based on multiple parameters |
| title_fullStr | GIS contact temperature prediction method based on multiple parameters |
| title_full_unstemmed | GIS contact temperature prediction method based on multiple parameters |
| title_short | GIS contact temperature prediction method based on multiple parameters |
| title_sort | gis contact temperature prediction method based on multiple parameters |
| topic | gas insulated switchgear (gis) multi-physics field coupling finite element method back propagation (bp) neural network temperature prediction heat circuit theory |
| url | https://www.epet-info.com/dlgcjsen/article/abstract/230214117 |
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