基于数字孪生的GIS外部局部放电干扰识别

Identification of External Partial Discharge Interference in GIS Based on Digital Twin Technology

在实际的变电站复杂环境中,除了来自环境噪声的影响外,气体绝缘金属封闭开关设备(gas insulated switchgear,GIS)在线监测系统还会受到外部局部放电信号的干扰。针对目前GIS局部放电在线监测系统无法识别外部局部放电信号的缺陷,结合数字孪生技术的优势,开展GIS外部局部放电干扰识别研究,提出一种基于数字孪生的GIS外部局部放电干扰识别机制,建立GIS数字孪生整体模型和信号衰减部件模型,分析特高频信号衰减速率。根据衰减速率对比,完成外部局部放电信号识别,并通过仿真实验验证该算法的有效性。

In the complex environment of actual substations,in addition to the impact of environmental noise,the gas insulated switchgear(GIS)online monitoring system also receives interference from external partial discharge(PD)signals.To address the current defect that GIS PD online monitoring systems can’t identify external PD signals,this paper conduct research on the identification of external PD interference in the GIS,combining the advantages of digital twin technology.It proposes a mechanism for identifying external PD interference in the GIS based on digital twins,establishes an overall digital twin model of the GIS and a signal attenuation component model,and analyzes the ultra-high frequency signal attenuation rate.According to attenuation rate comparisons,it completes the identification of external PD signals,and verifies the effectiveness of the algorithm proposed through simulation experiments.