【摘要】：隨著全球能源危機(jī)的加重,分布式電源(Distributed Generator, DG)應(yīng)運(yùn)而生。分布式能源緩解了全球能源緊張的局勢(shì),然而隨著分布式發(fā)電大量并入配電網(wǎng),傳統(tǒng)配電網(wǎng)具有的單一電源的輻射拓?fù)浣Y(jié)構(gòu)將會(huì)因此改變,其運(yùn)行方式也會(huì)發(fā)生變化。這樣就會(huì)造成配電網(wǎng)故障檢測(cè)與識(shí)別的過(guò)程變得更加的復(fù)雜,現(xiàn)有的故障檢測(cè)與識(shí)別方案就會(huì)受到影響,有的已經(jīng)不再適用。因此,在大力建設(shè)智能配電網(wǎng)的背景下,有必要展開(kāi)對(duì)含有DG的配電網(wǎng)故障檢測(cè)與識(shí)別技術(shù)的相關(guān)研究。具體工作如下:(1)分析了接入DG后對(duì)配電網(wǎng)的影響,著重分析了配電網(wǎng)發(fā)生短路故障后對(duì)故障檢測(cè)與識(shí)別的影響。針對(duì)故障檢測(cè),研究了基于小波奇異熵理論與模糊邏輯相結(jié)合的故障快速檢測(cè)與識(shí)別方法,利用模糊邏輯輸出,對(duì)配電網(wǎng)時(shí)常發(fā)生的幾種故障類(lèi)型做出了準(zhǔn)確判斷,有利于繼電保護(hù)的實(shí)施及孤島檢測(cè)。(2)判斷出故障類(lèi)型后,針對(duì)發(fā)生率較高的單相接地故障,進(jìn)行故障選線工作。首先,搭建了含有DG的故障仿真模型,其次對(duì)各線路零序電流進(jìn)行了 S變換,對(duì)數(shù)據(jù)做了預(yù)處理,提取了故障特征,找到特征頻段及判定故障線路時(shí)刻,最后,在特征頻段內(nèi)進(jìn)行各線路的暫態(tài)能量計(jì)算。針對(duì)暫態(tài)能量法在含有DG的配電網(wǎng)中選擇故障線路的應(yīng)用的局限性,提出了暫態(tài)能量比值自適應(yīng)的選線方法。實(shí)驗(yàn)結(jié)果表明利用小波奇異熵理論與模糊邏輯的方法在含有DG的配電網(wǎng)中能夠快速地檢測(cè)出故障并能夠?qū)收线M(jìn)行準(zhǔn)確分類(lèi);利用暫態(tài)能量比值自適應(yīng)的選線算法能夠適應(yīng)含有DG的配電網(wǎng),能準(zhǔn)確地識(shí)別出故障線路,有良好的適應(yīng)性并且提高了保護(hù)裕度。
[Abstract]:With the aggravation of global energy crisis, distributed power supply (Distributed Generator, DG) emerges as the times require. Distributed energy reduces the global energy tension. However, with a large number of distributed power generation incorporated into the distribution network, the radiation topology of the single power supply in the traditional distribution network will be changed, and its operation mode will also be changed. This will cause the process of fault detection and identification of distribution network to become more complex, and the existing fault detection and identification schemes will be affected, some of which are no longer applicable. Therefore, under the background of building intelligent distribution network, it is necessary to study the fault detection and identification technology of distribution network with DG. The specific work is as follows: (1) the influence of DG access on distribution network is analyzed, and the influence of short circuit fault on fault detection and identification is emphatically analyzed. For fault detection, a fast fault detection and recognition method based on wavelet singular entropy theory and fuzzy logic is studied. By using fuzzy logic output, several kinds of fault types frequently occurring in distribution network are accurately judged. It is beneficial to the implementation of relay protection and island detection. (2) after judging the fault type, the fault line selection is carried out for the single-phase grounding fault with high incidence. Firstly, the fault simulation model with DG is built. Secondly, the zero sequence current of each line is transformed into S transform, the data is preprocessed, the fault feature is extracted, the characteristic frequency band is found and the fault line time is determined. The transient energy of each line is calculated in the characteristic frequency band. In view of the limitation of transient energy method in fault line selection in distribution network with DG, an adaptive line selection method based on transient energy ratio is proposed. The experimental results show that the wavelet singular entropy theory and fuzzy logic can quickly detect the faults and classify the faults accurately in the distribution network with DG. The adaptive line selection algorithm based on transient energy ratio can adapt to the distribution network with DG, identify the fault line accurately, have good adaptability and improve the protection margin.
【學(xué)位授予單位】：西安理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類(lèi)號(hào)】：TM711

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