期刊文献+

基于5G通信和动态时间规划算法的配电网线路差动保护 被引量:31

Differential protection of the distribution line based on 5G communication and dynamic time wrapping algorithm
在线阅读 下载PDF
导出
摘要 现代配电网中分布式新能源发电装置的接入,使得传统三段式电流保护难以实现。而差动保护需要敷设光纤,其建设、维护成本高,难以大范围应用。通过5G通信的超低时延特性,实现差动保护数据传输通道,有利于解决上述光纤成本高的问题。但5G通信数据传输时延和时延抖动的不确定性,对保护动作判据计算的准确性产生不利影响。针对于这一问题,利用动态时间规划(DTW)算法对电流采样序列时间轴变化具有容差性这一特点,构建基于DTW距离的差动保护判据,消除传输时延和抖动对差动保判据计算的影响。最后通过仿真分析了算法中参数选取对结果的影响,并验证了基于DTW距离的差动保护判据算法的有效性。 The access of distributed new energy generation device in modern distribution network makes the traditional three-section current protection difficult to realize.The differential protection needs the laying of optical fiber infrastructures,and its very high construction and maintenance costs make its wide application difficult.The ultra-low delay of 5G communication makes it possible to realize the differential protection of data transmission channels in the power grid,which can be a solution to the problem of high optical-fiber costs.However,the uncertainty of delay and jitter of 5G communication has a negative impact on the calculation accuracy of protection action criterion.To solve this problem,the dynamic time wrapping(DTW)algorithm is used to tolerate the time delay and jitter,and a differential protection criterion based on DTW distance is constructed to eliminate the influence of transmission delay and jitter on calculation and comparison of differential protection.Finally,the influence of parameter selection on the result is analyzed by simulation,and the validity of differential protection criterion algorithm based on DTW distance is verified.
作者 黄福全 王廷凰 张海台 刘子俊 李国栋 HUANG Fuquan;WANG Tinghuang;ZHANG Haitai;LIU Zijun;LI Guodong(Shenzhen Power Supply Bureau Co.,Ltd.,Shenzhen,Guangdong 518000,P.R.China;Shandong Kehui Electric Power Automation Co.,Ltd.,Zibo,Shandong 255000,P.R.China)
出处 《重庆大学学报》 EI CAS CSCD 北大核心 2021年第4期77-85,共9页 Journal of Chongqing University
基金 国家自然科学基金资助项目(51877060)。
关键词 5G通信 差动保护 波形相似度 DTW距离算法 5G communication differential protection waveform similarity DTW algorithm
  • 相关文献

参考文献6

二级参考文献35

共引文献107

同被引文献322

引证文献31

二级引证文献174

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部