本文選題：小電流接地系統(tǒng) + 故障區(qū)段定位　； 參考：《電工技術(shù)學(xué)報》2017年08期

【摘要】：小電流接地系統(tǒng)發(fā)生單相接地故障后,系統(tǒng)中產(chǎn)生特征較為豐富的電氣暫態(tài)量。針對健全區(qū)段兩端的暫態(tài)零序電流相似度高,而故障區(qū)段兩端暫態(tài)零序電流差異較大的特點,提出一種基于暫態(tài)零序電流的廣義S變換能量相對熵的故障區(qū)段定位方法。首先,以暫態(tài)零序電流作為故障特征量,根據(jù)零序電流突變量確定各檢測裝置上傳數(shù)據(jù)的起始時刻。然后,對饋線上各裝置上傳的暫態(tài)零序電流進(jìn)行廣義S變換,得到其時頻矩陣。最后,利用能量相對熵表征各區(qū)段兩端信號的差異,通過計算比較,確定熵值最大的區(qū)段為故障區(qū)段。該區(qū)段定位方法適用于不同故障點位置、不同故障角、不同過渡電阻情形下的故障定位,仿真結(jié)果驗證了所提方法的有效性。
[Abstract]:After the single-phase grounding fault occurs in the small current grounding system, there are abundant electrical transient quantities in the system. In view of the high similarity of transient zero-sequence current between the two ends of the perfect section and the large difference of transient zero-sequence current between the two ends of the fault section, a fault section location method based on the generalized S-transform energy relative entropy of transient zero-sequence current is proposed. Firstly, the transient zero-sequence current is used as the fault characteristic, and the starting time of the data is determined according to the zero-sequence current mutation. Then, the transient zero-sequence current uploaded from the feeder is transformed by generalized S-transform, and the time-frequency matrix is obtained. Finally, the energy relative entropy is used to characterize the difference of the signals between the two ends of each section. Through the calculation and comparison, it is determined that the section with the largest entropy value is the fault section. The section location method is suitable for fault location with different fault points, different fault angles and different transition resistances. The simulation results show that the proposed method is effective.
【作者單位】： 中國電力科學(xué)研究院;北京科技大學(xué)自動化學(xué)院;河北大學(xué)電子信息工程學(xué)院;
【基金】：國家電網(wǎng)公司科技項目“智能配電網(wǎng)運行狀態(tài)管控與綜合評價關(guān)鍵技術(shù)研究”資助(PD-71-16-014)
【分類號】：TM862

【相似文獻(xiàn)】

相關(guān)期刊論文 前10條

1 張彥峰;;基于灰色關(guān)聯(lián)分析的相對熵集結(jié)模型[J];西北工業(yè)大學(xué)學(xué)報;2013年02期

2 曾青松;賀衛(wèi)國;;基于相對熵度量的行為識別方法[J];河南科技大學(xué)學(xué)報(自然科學(xué)版);2009年06期

3 李小鵬;何正友;武驍;;基于S變換能量相對熵的高壓輸電線路極性比較式縱聯(lián)保護(hù)[J];電網(wǎng)技術(shù);2014年08期

4 張震;郭崇慧;;基于相對熵的多粒度不確定語言型群決策方法[J];大連理工大學(xué)學(xué)報;2012年06期

5 白鳳蘭;徐s，

本文編號：1947463