一种改进的基于热力学的DGA放电严重程度评估方法

Rui Guo, Jian Wang, Ren Liu, A. Ping, Ruofan Xiao, Jingrui Wang
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引用次数: 0

摘要

变压器是电力系统的核心设备,是电力系统安全可靠运行的关键。及时有效地诊断变压器放电故障具有十分重要的意义。溶解气体分析(DGA)由于其显著的优点,在变压器故障诊断中起着决定性的作用。然而,传统的DGA方法不能有效地评估放电故障的严重程度。因此,本文提出了一种基于热力学理论的改进方法ETDCG(能量加权总溶解可燃气体)。首先,引入能量加权因子来表征典型气体的能量差,并以此焓变计算ETDCG;在此基础上,搭建了变压器放电实验平台。最后,进行了不同放电模式和不同放电阶段的实验,验证了放电能量与ETDCG的相关性。
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An Improved Method to Evaluate the Severity of Discharges with DGA Based on Thermodynamics
Transformer is the core equipment of power system and the key to safe and reliable operation. It is very important to diagnose transformer discharge fault timely and effectively. Due to its remarkable advantages, DGA (Dissolved gas analysis) plays a decisive role in fault diagnosis of transformer. However, the severity of discharge fault can't be assessed effectively by the traditional DGA method. Therefore, an improved method named ETDCG (energy-weighted total dissolved combustible gases) is proposed based on the thermodynamics theory in this paper. Firstly, the energy-weighted factors were introduced to characterize the energy difference of typical gases and the ETDCG can be calculated based on this enthalpy changes. Then, an experimental platform for transformer discharges was built. Finally, the experiments of different discharge models and different discharge stages were carried out and the correlation between the discharge energy and ETDCG is verified.
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