首页|地铁直流进线振荡电流识别算法研究

地铁直流进线振荡电流识别算法研究

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针对地铁直流进线的振荡电流容易引起继电保护系统频繁误动作的问题,文章提出以变分模态分解、样本熵、TOPSIS为核心的故障诊断分析算法,并搭建实时数字仿真试验平台,以地铁继电保护装置为应用场景,通过将改进的进线保护算法与传统逆流保护算法进行试验对比分析,验证了方法在工程实践中的可行性和有效性.结果表明,该方法可有效识别直流进线特殊振荡电流,提高继电保护的可靠性.
Research on identification algorithm of oscillating current in DC incoming lines of metro
The paper presents a fault diagnosis and analysis algorithm centered on variational mode decomposition(VMD),sample entropy,and TOPSIS,to address the challenge of frequent misoperations of relay protection systems triggered by oscillating current in the incoming lines of metro traction power supply systems.Using a real-time digital simulation experimental platform,the improved in-coming line protection algorithm was compared with traditional reverse current protection algorithms in the application scenario of metro relay protection devices.The experimental analysis verified the practicality and effectiveness of the proposed approach in engineering ap-plications.The study findings highlight the algorithm's capacity in identifying special oscillating current in DC incoming lines,offering a valuable means to enhance relay protection reliability.

metro traction power supply systemresonant current of DC incoming lineshort-circuit currentincoming line protectionvariational mode decomposition(VMD)

王楠清、漆宇、忻兰苑、宋金川、田行军

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中车株洲电力机车研究所有限公司,湖南 株洲 412001

天津凯发电气股份有限公司,天津 300392

石家庄铁道大学 电气与电子工程学院,河北 石家庄 050043

地铁牵引供电系统 直流进线谐振电流 短路电流 进线保护 变分模态分解

2024

机车电传动
中国南车集团株洲电力机车厂

机车电传动

CSTPCD
影响因子:0.347
ISSN:1000-128X
年,卷(期):2024.(2)
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