發(fā)布時(shí)間：2019-03-04 11:53

【摘要】：提出了一種基于壓縮感知估計(jì)行波自然頻率的輸電線路故障定位方法,能夠準(zhǔn)確估計(jì)多次行波自然頻率,具有較高的故障定位精度。針對(duì)故障行波信號(hào)的頻域特征設(shè)計(jì)了新的過完備字典,使行波信號(hào)能夠被有效地稀疏表示。進(jìn)行故障定位時(shí),首先用小波模極大值方法確定故障行波信號(hào)的頻率邊界,并采用FIR濾波進(jìn)行預(yù)處理濾除低頻干擾成分,然后將其變換到頻域使其能夠在過完備字典上稀疏表示。在此基礎(chǔ)上,該文利用改進(jìn)的基于Dice系數(shù)的OMP算法(DOMP算法)對(duì)故障行波的頻域信號(hào)進(jìn)行重構(gòu),精確辨識(shí)行波信號(hào)的多次自然頻率值,最終結(jié)合反射角和波速實(shí)現(xiàn)準(zhǔn)確地故障定位。通過仿真分析驗(yàn)證了字典設(shè)計(jì)結(jié)合改進(jìn)的DOMP算法的方法具有較高的定位精度和可靠性。
[Abstract]:This paper presents a fault location method for transmission line based on compression sensing to estimate the natural frequency of traveling wave, which can accurately estimate the natural frequency of multiple traveling waves and has high fault location accuracy. A new over-complete dictionary for the frequency domain characteristics of fault traveling wave signals is designed to make the traveling wave signals can be represented sparsely effectively. When the fault is located, the wavelet modulus maximum method is used to determine the frequency boundary of the fault traveling wave signal, and the FIR filter is used to pre-filter the low-frequency interference components. Then it is transformed into frequency domain so that it can be sparsely represented in an over-complete dictionary. On this basis, the improved OMP algorithm based on Dice coefficient (DOMP) is used to reconstruct the frequency domain signal of the fault traveling wave, and the multiple natural frequency values of the traveling wave signal are accurately identified. Finally, the fault location is realized by combining reflection angle and wave velocity. The simulation results show that the dictionary design combined with the improved DOMP algorithm has high positioning accuracy and reliability.
【作者單位】： 東北電力大學(xué)信息工程學(xué)院;東北電力大學(xué)電氣工程學(xué)院;
【基金】：國(guó)家自然科學(xué)基金(51307020) 吉林省科技廳項(xiàng)目(20160520089JH)資助
【分類號(hào)】：TM75
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本文編號(hào)：2434247