Automatic Current Transformer Verification Technology for High-Speed Railway Power Based on Edge-Cloud Collaborative Computing

Lin Yang, Zhi-Long Zhang, Shoumo Wang, Wen-Ting Zhang, Rui Dai, Yin-Bo Liu
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Abstract

Current transformer is a key power equipment for high-speed railway power, with high risk for the operator. Based on the architecture of edge-cloud collaborative computing, an automatic high voltage transformer verification technology is proposed considering the applicability in various fields. a vehicle mounted verification device is designed, on which the verification computing at edge side can be realized. The working state model of current transformer is built based on the closed-loop ARMAX model. Combing the ARMAX Model identification with MOEA/D tendency guidance, the characteristic of fault mode for high voltage transformer is proposed. The comparative validation experiment is conducted for 30 consecutive days at a 15VA current transformer and a3.75VA current transformer. The results show that the estimated value of ratio error can reflect actual state changes, which can be used to identify the fault status of the high voltage current transformer. The automatic high voltage transformer verification is achieved with more security for the operator, and it has the value of promotion and application.
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基于边缘云协同计算的高速铁路电力电流互感器自动验证技术
电流互感器是高速铁路电力的关键电力设备,对操作人员的风险较大。基于边缘云协同计算架构,考虑到高压变压器在多个领域的适用性,提出了一种高压变压器自动验证技术。设计了车载验证装置,在该装置上实现了边缘侧的验证计算。基于闭环ARMAX模型建立了电流互感器的工作状态模型。结合ARMAX模型辨识和MOEA/D趋势导引,提出了高压变压器故障模式的特征。在15VA电流互感器和3.75 va电流互感器上进行连续30天的对比验证实验。结果表明,比值误差估计值能反映实际状态变化,可用于判别高压电流互感器的故障状态。实现了高压变压器的自动检定,为操作人员提供了更大的安全性,具有推广应用价值。
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