引用本文: | 何先华,张远鹏,崔桂兴,等.基于回归算法的变压器故障检测方法研究[J].电力系统保护与控制,2020,48(21):132-139.[点击复制] |
HE Xianhua,ZHANG Yuanpeng,CUI Guixing,et al.Research on transformer fault detection method based on a regression algorithm[J].Power System Protection and Control,2020,48(21):132-139[点击复制] |
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摘要: |
为了克服变压器定期维护检查成本高、难度大,实现对变压器的故障检测,保证变压器长期处于正常的运行状态,提出了一种简单的在线监测算法。首先,对变压器热点温度模型进行了研究,并通过仿真验证了模型的准确性;其次,从理论上分析了变压器故障检测的回归算法,并利用变压器上的真实数据对此算法进行了仿真验证。仿真结果表明,该算法在变压器故障时所关注的几个参数有明显变化,而变压器负载缓慢变化或突然变化时这些参数基本保持不变,从而验证了所提出的算法能有效识别出变压器故障。 |
关键词: 故障监测 温度模型 回归算法 变压器 |
DOI:DOI: 10.19783/j.cnki.pspc.191592 |
修订日期:2020-02-20 |
基金项目:国家电网公司科技项目资助(522804170002) |
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Research on transformer fault detection method based on a regression algorithm |
HE Xianhua,ZHANG Yuanpeng,CUI Guixing,LI Bo,LIANG Xiaoyan,WANG Han |
(1. Huanghua Power Supply Company, State Grid Qinghai Electric Power Company, Jianzha 811200, China;
2. Shanghai Jiao Tong University, Shanghai 200240, China) |
Abstract: |
Transformers are expensive and difficult to regularly maintain and check. In order to achieve fault detection of transformers and to ensure that they can be in normal operation for a long time, a simple on-line monitoring algorithm is proposed. First, a temperature model of a transformer hot spot is studied, and the accuracy of the model is verified by simulation. Secondly, the regression algorithm of transformer fault detection is theoretically analyzed, and the simulation is verified by the real data program algorithm on the transformer. The simulation results show that the parameters from the proposed algorithm would change significantly during a transformer fault, while the parameters remain basically unchanged when the transformer load changes slowly or suddenly. This verifies that the proposed algorithm could effectively identify a transformer fault.
This work is supported by Science and Technology Project of State Grid Corporation of China (No. 522804170002). |
Key words: fault monitoring temperature model regression algorithm transformer |