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| Method for Evaluating the Aging State of ZnO Arrester Based on Curve Decomposition of Frequency Domain Dielectric Spectrum |
| Ma Yutang1,2, Shu Hongchun1,3, Qian Guochao2, Zhou Fangrong2, Huang Lin4, Wei Renwei4 |
1. Faculty of Land Resource Engineering Kunming University of Science and Technology Kunming 650093 China;
2. Electric Power Research Institute of Yunnan Electric Power Company Kunming 650217 China;
3. Faculty of Electric Power Engineering Kunming University of Science and Technology Kunming 650500 China;
4. School of Electrical Engineering Southwest Jiaotong University Chengdu 611756 China |
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Abstract ZnO arrester is an important component of power system equipment, which protects electrical equipment from lightning or overvoltage caused by operation. During the service process of arrester, under the effect of overvoltage such as long-term lightning strike and operation, it gradually ages, leading to the decline of current carrying capacity and affecting its protection effect against overvoltage. Therefore, it is necessary to effectively evaluate the aging state of arrester, so as to guide the maintenance and replacement, and ensure the safe and stable operation of power system.
At present, the aging status assessment of ZnO arrester is mainly divided into two ways: online monitoring and offline detection. In the field application of online monitoring method, it is inevitable to be interfered by some on-site objective factors, resulting in certain errors in the evaluation results. And in the offline detection of arresters on-site, most of them need high-voltage equipment, which is bulky and inconvenient to carry, and the on-site experimental conditions are difficult to fully ensure the safety of high-voltage experiments.
Therefore, aiming at the uneven aging distribution inside the ZnO arrester, this paper proposes an aging state evaluation method of ZnO arrester based on the decomposition of frequency domain dielectric spectrum curve. Firstly, by constructing the equivalent circuit of the dielectric response of ZnO arrester, the frequency domain dielectric spectrum decomposition method of ZnO arrester is studied. Through the frequency domain dielectric spectrum decomposition of the whole arrester, the frequency domain dielectric curve of ZnO varistor in each region of the arrester can be obtained. Then, the characteristic parameters of frequency domain dielectric spectrum of ZnO varistor are extracted by using Havriliak-Negami equation, the aging state evaluation model of ZnO varistor is established based on extreme learning machine, and the aging evaluation method of ZnO arrester was proposed. The main process is to determine the equivalent circuit parameters of dielectric response based on the frequency domain dielectric spectrum test results of the whole ZnO arrester, obtain the frequency domain dielectric spectrum decomposition of each region, and The aging characteristic parameters of each region are extracted, and the aging status of each region is evaluated based on extreme learning machine. Finally, through multiple lightning simulation experiments, samples of ZnO varistor and arresters in different aging states were prepared, and the proposed aging evaluation method was analyzed and verified.
The results show that for the frequency domain dielectric spectrum of the whole arrester, the average error between the decomposition results and the direct test results is less than 3%, which shows that the proposed method can effectively decompose the frequency domain dielectric spectrum of the arrester, and indirectly proves that the frequency domain dielectric spectrum curve of each region of the arrester can be effectively obtained by curve decomposition; The accuracy of the proposed method is 97.5% on the test set of ZnO varistor after the training of ZnO varistor samples in different aging states, and 93.3% on the aging state of each area of the whole arrester, indicating that the proposed method can effectively evaluate the aging of each area of arrester.
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Received: 01 August 2023
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2024, Vol. 39 
