Process deviation detection method for dry‐type air‐core reactor based on power factor frequency characteristics
Abstract To address the problem that the process deviation of dry‐type air‐core reactors cannot be effectively detected, electrical parameters of reactor are numerically analysed at different frequencies. A new method of process deviation detection by the power factor frequency characteristic is pro...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2024-11-01
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| Series: | IET Science, Measurement & Technology |
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| Online Access: | https://doi.org/10.1049/smt2.12222 |
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| _version_ | 1846121470177050624 |
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| author | Yonghong Wang Xingyu Ge Yu Zhuang Zihe Meng Chunming Zhao |
| author_facet | Yonghong Wang Xingyu Ge Yu Zhuang Zihe Meng Chunming Zhao |
| author_sort | Yonghong Wang |
| collection | DOAJ |
| description | Abstract To address the problem that the process deviation of dry‐type air‐core reactors cannot be effectively detected, electrical parameters of reactor are numerically analysed at different frequencies. A new method of process deviation detection by the power factor frequency characteristic is proposed. Considering on‐site power frequency interference, a harmonic analysis method is proposed, which is based on the integer multiple of the power frequency cycle, to calculate the power factor. The results show that the resistance loss remains relatively constant at power frequency and gradually increases at higher frequencies with the number of deviation turns increases. The eddy current loss remains basically unchanged at different turn deviations and frequencies. The change laws of resistance loss and the resistance loss power factor are the same. In a double logarithmic coordinate system, resistance loss power factor changes from linear to non‐linear. The non‐linearity degree can be used to detect the process deviation. The test results are consistent with the theory, and the correctness of the detection method is verified. |
| format | Article |
| id | doaj-art-c8b207e1c25f48fb9991128af2f38128 |
| institution | Kabale University |
| issn | 1751-8822 1751-8830 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Science, Measurement & Technology |
| spelling | doaj-art-c8b207e1c25f48fb9991128af2f381282024-12-16T03:36:03ZengWileyIET Science, Measurement & Technology1751-88221751-88302024-11-0118963364610.1049/smt2.12222Process deviation detection method for dry‐type air‐core reactor based on power factor frequency characteristicsYonghong Wang0Xingyu Ge1Yu Zhuang2Zihe Meng3Chunming Zhao4Electrical & Electronic Engineering CollegeHarbin University of Science and TechnologyHarbinHeilongjiang ProvinceChinaElectrical & Electronic Engineering CollegeHarbin University of Science and TechnologyHarbinHeilongjiang ProvinceChinaElectrical & Electronic Engineering CollegeHarbin University of Science and TechnologyHarbinHeilongjiang ProvinceChinaElectrical & Electronic Engineering CollegeHarbin University of Science and TechnologyHarbinHeilongjiang ProvinceChinaElectric Power Research Institute of Jilin Electric Power Co. of State GridChangchunChinaAbstract To address the problem that the process deviation of dry‐type air‐core reactors cannot be effectively detected, electrical parameters of reactor are numerically analysed at different frequencies. A new method of process deviation detection by the power factor frequency characteristic is proposed. Considering on‐site power frequency interference, a harmonic analysis method is proposed, which is based on the integer multiple of the power frequency cycle, to calculate the power factor. The results show that the resistance loss remains relatively constant at power frequency and gradually increases at higher frequencies with the number of deviation turns increases. The eddy current loss remains basically unchanged at different turn deviations and frequencies. The change laws of resistance loss and the resistance loss power factor are the same. In a double logarithmic coordinate system, resistance loss power factor changes from linear to non‐linear. The non‐linearity degree can be used to detect the process deviation. The test results are consistent with the theory, and the correctness of the detection method is verified.https://doi.org/10.1049/smt2.12222dry‐type air‐core reactorfrequencyprocess deviationpower factor |
| spellingShingle | Yonghong Wang Xingyu Ge Yu Zhuang Zihe Meng Chunming Zhao Process deviation detection method for dry‐type air‐core reactor based on power factor frequency characteristics IET Science, Measurement & Technology dry‐type air‐core reactor frequency process deviation power factor |
| title | Process deviation detection method for dry‐type air‐core reactor based on power factor frequency characteristics |
| title_full | Process deviation detection method for dry‐type air‐core reactor based on power factor frequency characteristics |
| title_fullStr | Process deviation detection method for dry‐type air‐core reactor based on power factor frequency characteristics |
| title_full_unstemmed | Process deviation detection method for dry‐type air‐core reactor based on power factor frequency characteristics |
| title_short | Process deviation detection method for dry‐type air‐core reactor based on power factor frequency characteristics |
| title_sort | process deviation detection method for dry type air core reactor based on power factor frequency characteristics |
| topic | dry‐type air‐core reactor frequency process deviation power factor |
| url | https://doi.org/10.1049/smt2.12222 |
| work_keys_str_mv | AT yonghongwang processdeviationdetectionmethodfordrytypeaircorereactorbasedonpowerfactorfrequencycharacteristics AT xingyuge processdeviationdetectionmethodfordrytypeaircorereactorbasedonpowerfactorfrequencycharacteristics AT yuzhuang processdeviationdetectionmethodfordrytypeaircorereactorbasedonpowerfactorfrequencycharacteristics AT zihemeng processdeviationdetectionmethodfordrytypeaircorereactorbasedonpowerfactorfrequencycharacteristics AT chunmingzhao processdeviationdetectionmethodfordrytypeaircorereactorbasedonpowerfactorfrequencycharacteristics |