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文章摘要
基于RVM和阻抗法对串联电容补偿输电线路的故障定位
Fault Location Algorithm for Ground Fault in Series Capacitor Compen-sated Transmission Lines Based on RVM and Impedance Method
Received:January 07, 2018  Revised:January 07, 2018
DOI:
中文关键词: 串补输电线路  故障定位  相关向量机  MOV  相量估计
英文关键词: series  capacitor compensated  transmission lines, fault  location, RVM, MOV, phasor  estimation
基金项目:
Author NameAffiliationE-mail
ZHOU Buxiang Sichuan University hiway_scu@126.com 
LIAO Minfang* (School of Electrical and Information Engineering, Sichuan University 625271864@qq.com 
WEI Jinxiao (School of Electrical and Information Engineering, Sichuan University 815847817@qq.com 
PAN Chen (School of Electrical and Information Engineering, Sichuan University 2425798862@qq.com 
ZHANG Zhiqiang (School of Electrical and Information Engineering, Sichuan University 15695252183@163.com 
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中文摘要:
      在串补输电线路(SCCTL)中通常采用金属氧化物变阻器(metal-oxide varistor , MOV)对串补装置中的电容作主保护,而MOV具有典型的非线性特征,给串补输电线路的故障定位带来难题。基于此,本文提出一种新的接地故障定位方法,首先对接地故障进行分类识别,再针对不同故障类型用阻抗法进行故障定位,将SCCTL相对于串补装置分为两个区域,并对应采用两个子算法对故障进行定位,无需附加程序对子算法的计算结果进行伪根判别。该阻抗法不依赖串补装置的模型,不受MOV非线性特征的影响。最后在PSCAD/EMTDC仿真软件中建立一500kV的串补输电线路模型,用MATLAB实现故障定位算法,仿真结果验证了本文方法具有较高的定位精度。
英文摘要:
      The metal oxide varistor(MOV), a typical non-linear element, is usually used to mainly protect series capacitor in series compensation devices(SCD) of SCCTL.it makes location of faults in series compensated trans-mission line(SCCTL) a challenging task. In this paper, an accurate fault location algorithm is presented which firstly classifies the ground faults then locates them and which provides fault location results without using the model of SCD and is immune to the effects of MOV, Furthermore, The proposed method uses two routines to attain the aims of locating faults on the basis of splitting the SCCTL in two parts concerning the position of SCD, and there is no need a extra procedure to make sure the validity of results. Thereafter, a 500 KV system with an SCCTL is designed in PSCAD while the fault location algorithm is modeled in MATLAB. The proposed algorithm is tested through simulations covering various fault scenarios in an SCCTL. Results of simulation indicates that the proposed method can locate faults effectively.
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