【摘要】：電能作為當今社會最主要的能源供給方式,影響著整個國家的工業(yè)發(fā)展、人民日常生活便捷、社會和諧穩(wěn)定等各個方面,伴隨著國家經(jīng)濟發(fā)展和人民生活水平的提高,為滿足日益增大的電能負荷需求,電網(wǎng)也逐步朝著規(guī)模更大、聯(lián)系更復雜、結(jié)構(gòu)更加多樣發(fā)展。然而在最近數(shù)十年內(nèi)卻發(fā)生的多起電網(wǎng)大規(guī)模連鎖故障表明了大電網(wǎng)結(jié)構(gòu)仍然具有其固有的脆弱性。從而引起國內(nèi)外專家學者對大停電事故的廣泛關注,研究發(fā)現(xiàn)利用傳統(tǒng)基于微分方程的方法不能很好評估這種連鎖故障,需要尋求新的方法對大電網(wǎng)進行全面有效的脆弱性評估,目前基于風險值指標和復雜網(wǎng)絡理論方法成為研究電網(wǎng)脆弱性的熱點之一 本文首先利用傳統(tǒng)脆弱性指標對IEEE39節(jié)點電網(wǎng)進行了脆弱性評估,并建立改進的電網(wǎng)加權(quán)演化模型,利用隨機攻擊和蓄意攻擊展現(xiàn)網(wǎng)絡脆弱性差異；然后提出了基于隨機游走算法的電網(wǎng)脆弱性節(jié)點和連邊識別方法,該算法解決了電能傳輸路徑并非節(jié)點對之間最短路徑,而是一種概率性隨機游走,利用時域仿真法驗證所篩選指標是合理有效的；文章最后利用復雜網(wǎng)絡理論中的社團結(jié)構(gòu)算法對電網(wǎng)進行無功分區(qū)識別研究,社團結(jié)構(gòu)與電網(wǎng)分區(qū)具有類似性,該算法是以電網(wǎng)結(jié)構(gòu)自身特征為主而不是傳統(tǒng)依據(jù)行政地域的劃分,具有較好的適用性,并利用復雜網(wǎng)絡基本特征量改進傳統(tǒng)分區(qū)內(nèi)電壓主導節(jié)點的篩選方法,最后用時域仿真驗證了結(jié)果的有效性。
[Abstract]:As the most important way of energy supply in today's society, electric energy affects the industrial development of the whole country, the convenience of people's daily life, social harmony and stability, and so on, with the development of national economy and the improvement of people's living standards. In order to meet the increasing demand of power load, the power grid is gradually developing towards larger scale, more complex connection and more diverse structure. However, a number of large-scale interlocking faults in recent decades show that the structure of large power grid still has its inherent vulnerability. As a result, experts and scholars at home and abroad pay more and more attention to blackouts. It is found that the traditional differential equation-based methods can not be used to evaluate this kind of interlocking faults. There is a need to find new ways to conduct a comprehensive and effective vulnerability assessment of large power grids, At present, based on risk index and complex network theory, it has become one of the hotspots to study the vulnerability of power grid. In this paper, the vulnerability assessment of IEEE39 node power grid is carried out by using the traditional vulnerability index. An improved weighted evolution model of power grid is established to show the difference of network vulnerability by random attack and deliberate attack. Then a method of identifying vulnerable nodes and connected edges of power grid based on random walk algorithm is proposed. The algorithm solves that the power transmission path is not the shortest path between node pairs, but a probabilistic random walk. The time domain simulation method is used to verify that the selected index is reasonable and effective. Finally, the reactive power partition identification of power grid is studied by using the community structure algorithm in complex network theory. The community structure is similar to the power grid partition. The algorithm is based on the characteristics of the power grid structure rather than the traditional division according to the administrative region, and has good applicability, and the selection method of voltage dominant nodes in the traditional partition is improved by using the basic characteristics of the complex network. Finally, the effectiveness of the results is verified by time domain simulation.
【學位授予單位】：廣東工業(yè)大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TM711;O157.5

【引證文獻】

相關博士學位論文 前1條

1 史進;基于復雜網(wǎng)絡理論的電力系統(tǒng)網(wǎng)絡模型及網(wǎng)絡性能分析的研究[D];華中科技大學;2008年

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本文編號：2476276