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| Fault traveling wave head calibration method for a distribution network based on the full band characteristics of a traveling wave |
| DOI：10.19783/j.cnki.pspc.240597 |
| Key Words:distribution network wave head calibration traveling wave full band object detection model |
| Author Name | Affiliation | | WANG Youpeng1 | 1. State Key Laboratory of Disaster Prevention & Reduction for Power Grid (Changsha University of Science and Technology),
Changsha 410114, China
2. China Southern Power Grid Digital Research Institute Co., Ltd., Guangzhou 510700, China | | ZENG Xiangjun1 | 1. State Key Laboratory of Disaster Prevention & Reduction for Power Grid (Changsha University of Science and Technology),
Changsha 410114, China
2. China Southern Power Grid Digital Research Institute Co., Ltd., Guangzhou 510700, China | | LIU Feng1 | 1. State Key Laboratory of Disaster Prevention & Reduction for Power Grid (Changsha University of Science and Technology),
Changsha 410114, China
2. China Southern Power Grid Digital Research Institute Co., Ltd., Guangzhou 510700, China | | LIU Feng1 | 1. State Key Laboratory of Disaster Prevention & Reduction for Power Grid (Changsha University of Science and Technology),
Changsha 410114, China
2. China Southern Power Grid Digital Research Institute Co., Ltd., Guangzhou 510700, China | | JIANG Zhuang1 | 1. State Key Laboratory of Disaster Prevention & Reduction for Power Grid (Changsha University of Science and Technology),
Changsha 410114, China
2. China Southern Power Grid Digital Research Institute Co., Ltd., Guangzhou 510700, China | | YU Kun1 | 1. State Key Laboratory of Disaster Prevention & Reduction for Power Grid (Changsha University of Science and Technology),
Changsha 410114, China
2. China Southern Power Grid Digital Research Institute Co., Ltd., Guangzhou 510700, China | | XIE Liwei1 | 1. State Key Laboratory of Disaster Prevention & Reduction for Power Grid (Changsha University of Science and Technology),
Changsha 410114, China
2. China Southern Power Grid Digital Research Institute Co., Ltd., Guangzhou 510700, China | | LI Xiaobo2 | 1. State Key Laboratory of Disaster Prevention & Reduction for Power Grid (Changsha University of Science and Technology),
Changsha 410114, China
2. China Southern Power Grid Digital Research Institute Co., Ltd., Guangzhou 510700, China |
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| Abstract:There is a problem in that the traveling wave head calibration method of a distribution network is easily affected by noise and wave head distortion. Thus a fault traveling wave calibration method based on the full-band characteristics of the traveling wave is proposed. From the singularities of the high frequency component and the noise immunity of the mid-low frequency component of the traveling wave, the full frequency component of the traveling wave is used to calibrate the traveling wave, and the advantages of using the full frequency component of the traveling wave in different working conditions are analyzed. Then, a convolutional neural network (CNN) based on a target detection model is designed and built. The full-band component of the traveling wave is taken as the feature input, and the wave head features of the traveling wave signal are extracted using a one-dimensional convolution kernel. Finally, the feature pyramid network and path aggregation network structure are combined to integrate the high, middle and low band features of the traveling wave head, and the accurate calibration of the arrival time of the traveling wave is realized. Compared with the traditional method, the proposed method has stronger adaptability in the case of short line and strong noise, and can also realize wave head calibration in the weak fault traveling wave scenario, and has good field application. |
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