本文選題：廣域繼電保護(hù) + 邊界電流極性��； 參考：《西南交通大學(xué)學(xué)報(bào)》2017年03期

【摘要】：為了提高廣域繼電保護(hù)的容錯(cuò)性和靈敏度,結(jié)合母線采樣值保護(hù)和線路故障分量差動(dòng)保護(hù)原理,提出一種基于電流極性和能量相對(duì)熵的廣域繼電保護(hù)新算法.首先,對(duì)線路IED保護(hù)關(guān)聯(lián)域進(jìn)行劃分,針對(duì)不同關(guān)聯(lián)域,提取正序工頻故障分量電流,并給出關(guān)聯(lián)域邊界電流、綜合計(jì)算電流和綜合虛擬電流概念;其次,定義綜合電流采樣值能量相對(duì)熵,量化綜合電流的差異程度,同時(shí),通過求取關(guān)聯(lián)域邊界電流之間的夾角大小來表征邊界電流的極性關(guān)系,并利用電流采樣值能量相對(duì)熵和極性關(guān)系識(shí)別關(guān)聯(lián)域內(nèi)外故障;最后,利用PSCAD/EMTDC軟件搭建IEEE-3機(jī)9節(jié)點(diǎn)系統(tǒng)模型,分別在不同故障點(diǎn)設(shè)置不同故障類型進(jìn)行仿真檢驗(yàn)算法性能.研究結(jié)果表明:在關(guān)聯(lián)域區(qū)內(nèi)故障時(shí),綜合電流幾乎一樣,相對(duì)熵值很小,接近為0;邊界電流間夾角小于π/2,極性近似相同;區(qū)外故障時(shí),綜合電流波形及采樣值能量差異顯著,相對(duì)熵值大于1;邊界電流間夾角接近于π,極性近似相反,二者差異明顯;域內(nèi)單相接地故障時(shí),在800Ω的高阻條件下,相對(duì)熵最大為0.428,夾角最大為0.388,仍能可靠滿足判據(jù),具有較高的靈敏度.實(shí)驗(yàn)結(jié)果驗(yàn)證了本文算法性能基本不受過渡電阻的影響,能較好克服TA飽和、數(shù)據(jù)畸變等不利因素的影響.
[Abstract]:In order to improve the fault tolerance and sensitivity of wide area relay protection, a new algorithm for wide area relay protection based on current polarity and energy relative entropy is proposed, which combines bus sampling value protection with line fault component differential protection principle. Firstly, the correlation domain of line IED protection is divided, the positive sequence power frequency fault component current is extracted according to different correlation domain, and the boundary current of correlation domain is given, and the concepts of integrated calculation current and synthetic virtual current are given. The relative entropy of integrated current sampling value is defined to quantify the difference of integrated current. At the same time, the polarity relationship of boundary current is represented by calculating the angle between the boundary currents in the correlation domain. The relative entropy and polarity relation of current sampling values are used to identify the faults in and out of the correlation domain. Finally, a 9-bus system model of IEEE-3 computer is built by using PSCAD / EMTDC software, and different fault types are set up at different fault points to verify the performance of the algorithm. The results show that the integrated current is almost the same, the relative entropy is very small, close to zero, the angle between boundary currents is less than 蟺 / 2, and the polarity is approximately the same. The relative entropy is greater than 1, the angle between boundary currents is close to 蟺, the polarity is close to opposite, and the difference between them is obvious. Under the condition of high resistance of 800 惟, the maximum relative entropy is 0.428 and the angle of inclusion is 0.388. the criterion can be satisfied reliably. It has high sensitivity. The experimental results show that the proposed algorithm can overcome the influence of TA saturation, data distortion and other unfavorable factors.
【作者單位】： 西南交通大學(xué)電氣工程學(xué)院;四川理工學(xué)院自動(dòng)化與電子信息學(xué)院;
【基金】：人工智能四川省重點(diǎn)實(shí)驗(yàn)室項(xiàng)目(2013RYY01,2012RYY06,2014RYY05,2015RYY01)的資助
【分類號(hào)】：TM77

【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(duì)熵集結(jié)模型[J];西北工業(yè)大學(xué)學(xué)報(bào);2013年02期

2 曾青松;賀衛(wèi)國;;基于相對(duì)熵度量的行為識(shí)別方法[J];河南科技大學(xué)學(xué)報(bào)(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(duì)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(duì)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(bào);2012年06期

5 白鳳蘭;徐s，

本文編號(hào)：1999891