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利用行波到達(dá)時(shí)差關(guān)系的配電網(wǎng)故障定位算法

發(fā)布時(shí)間:2018-06-19 18:38

  本文選題:行波 + 配電網(wǎng); 參考:《中國電機(jī)工程學(xué)報(bào)》2017年14期


【摘要】:針對(duì)現(xiàn)有配電網(wǎng)故障定位技術(shù)存在的缺陷,提出一種基于行波到達(dá)時(shí)差關(guān)系的配電網(wǎng)故障定位改進(jìn)算法。故障前,針對(duì)配電網(wǎng)結(jié)構(gòu)一般不變的特點(diǎn),將全網(wǎng)線路進(jìn)行等分,根據(jù)等分點(diǎn)至各線路末端的距離建立行波路徑矩陣,進(jìn)一步計(jì)算行波在各路徑上的傳播時(shí)間,在此基礎(chǔ)上建立各節(jié)點(diǎn)的行波到達(dá)時(shí)間差矩陣。故障后,由小波變換準(zhǔn)確獲取故障初始行波到達(dá)各線路末端時(shí)刻,建立各分支線路間實(shí)際的行波到達(dá)時(shí)間差矩陣,然后比較故障前后行波到達(dá)時(shí)差矩陣的差異,通過矩陣差異值找出故障位置,實(shí)現(xiàn)故障定位。為了提高構(gòu)建行波路徑矩陣的效率,對(duì)線路結(jié)構(gòu)進(jìn)行歸一化處理,并給出通用的行波路徑長(zhǎng)度計(jì)算方法。經(jīng)大量仿真驗(yàn)證,所提算法可行有效,定位精度較高。
[Abstract]:An improved fault location algorithm based on traveling-wave time-of-arrival (TDOA) relationship is proposed for existing fault location techniques in distribution networks. Before the fault, according to the general invariant characteristics of the distribution network structure, the whole network line is divided equally, and the traveling wave path matrix is established according to the distance from the equal dividing point to the end of each line, and the traveling wave propagation time on each path is further calculated. On this basis, the time difference matrix of traveling wave arrival of each node is established. After the fault, the initial traveling wave arrival time of each line is accurately obtained by wavelet transform, and the actual traveling wave arrival time difference matrix between each branch line is established, and then the difference of traveling wave arrival time difference matrix before and after fault is compared. The fault location is found by matrix difference value, and fault location is realized. In order to improve the efficiency of constructing the traveling wave path matrix, the line structure is normalized and a general method for calculating the length of the traveling wave path is given. A large number of simulations show that the proposed algorithm is feasible and effective, and the positioning accuracy is high.
【作者單位】: 東北大學(xué)信息科學(xué)與工程學(xué)院;
【分類號(hào)】:TM711

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

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8 王s,

本文編號(hào):2040879


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