油中溶解气体分析的电力变压器故障诊断

Power Transformer Fault Diagnosis of Dissolved Gas Analysis in Oil

电力变压器是电力系统不可或缺的组成部分,其故障将影响整个电力系统的正常、稳定运行,带来无法估量的损失。所以,准确监控其运行状态、及时诊断出潜在的故障显得尤为重要。溶解气体分析(DGA)通过比较电力变压器在正常运行状态下与发生故障状态下的油中溶解气体含量,检测并判断油浸式电力变压器故障。从算法原理及其优缺点等方面,对发生故障的油浸式电力变压器的诊断方法进行了研究。分析了当前普遍使用的IEC三比值法的优缺点,并提出相关改进方法;详细介绍了不同的算法,并阐述其各自的优缺点;对各种算法作出总体评价,并根据各类算法的优缺点对其未来的发展方向作出相关预测。该研究对电力系统整体的安全、稳定运行具有十分重要的意义。

Power transformer is an indispensable component of the power system; its fault will affect the normal and stable operation of the entire power system and cause incalculable losses. Therefore, it is especially important to accurately monitor its operating status and diagnose potential faults in a timely manner. Dissolved gas analysis （ DGA ） is a method to detect and diagnose the failures of oil-immersed power transformer by comparing the dissolved gas content in oil in the normal and the failure states of the operations of power transformer. Based on the principle, advantages and disadvantages of the algorithm, the fault diagnosis method for oil-immersed power transformer is studied. The advantages and disadvantages of the currently commonly used IEC three-ratio method are analyzed and the improvement measures are proposed. Different algorithms are described in detail, and their advantages and disadvantages are analyzed. Overall evaluation of various algorithms is given, and their future development trend is predicted according to their advantages and disadvantages. The study is of great importance to the safe and stable operation of the whole power system.