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基于固有频率的高压直流输电线路故障测距
引用本文:杨立红,杨明玉.基于固有频率的高压直流输电线路故障测距[J].中国电力,2013,46(7):82-86.
作者姓名:杨立红  杨明玉
作者单位:华北电力大学 电力系统保护与动态安全监控教育部重点实验室,河北 保定 071003
摘    要:行波波头难以标定是影响行波测距精度的主要因素,而基于固有频率的故障测距无需标定波头。在分析高压直流输电线路行波波速特点的基础上,提出基于固有频率的新型故障测距方法。利用线路两侧的故障数据,无需线路参数及计算行波波速,即可进行准确故障测距;采用后向预测Prony算法提取所需的固有频率后,利用模糊聚类算法对其进行筛选和优化,既提高了测距方法的快速性和准确性,也减少了测距过程中人员的介入,提高了测距自动化水平。PSCAD和Matlab联合仿真结果表明,该方法可实现快速、准确测量高压直流输电线路故障。

关 键 词:故障测距  固有频率  模糊聚类  后向预测Prony算法  
收稿时间:2013-03-12

Fault-Location Method for HVDC Transmission Lines Based on Natural Frequency
YANG Li-hong , YANG Ming-yu.Fault-Location Method for HVDC Transmission Lines Based on Natural Frequency[J].Electric Power,2013,46(7):82-86.
Authors:YANG Li-hong  YANG Ming-yu
Affiliation:Key Laboratory of Power System Protection and Dynamic Security Monitoring and Control of Ministry of Education,North China Electric Power University, Baoding 071003, China
Abstract:The main limitation of traveling wave fault-location method is it’s difficult to calibrate the wave correctly, but for the fault- location method based on natural frequency, the calibration is not required. Considering the characteristics of the wave speed of HVDC transmission lines, a novel fault-location method based on natural frequency is proposed, which does not require line parameters and the calculation of travaling wave speed, but analyzes the failure data of the line to get the accurate fault distance easily. The backward Prony algorithm is employed to extract the required natural frequency, which will be screened and optimized with the fuzzy clustering algorithm then. So that the rapidity and accuracy of the method will be improvedand the number of personnel involving the locating process will be reduced, thus the level of locating automation will be improved. With the combination simulations by PSCAD and Matlab, it has showed that the rapid and accurate fault-location of HVDC transmission lines can be achieved with the proposed method.
Keywords:fault location  natural frequency  fuzzy clustering  backward Prony algorithm
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