基于復(fù)雜網(wǎng)絡(luò)理論的連鎖故障建模與預(yù)防研究
發(fā)布時(shí)間：2018-07-24 09:32
【摘要】：復(fù)雜網(wǎng)絡(luò)連鎖故障是一種時(shí)常發(fā)生在基礎(chǔ)設(shè)施網(wǎng)絡(luò)上的動(dòng)力學(xué)現(xiàn)象,尤其是近年來發(fā)生在復(fù)雜電網(wǎng)中的大規(guī)模停電事故,給社會(huì)經(jīng)濟(jì)和人們生活帶來了巨大的損失和影響。因此,復(fù)雜電網(wǎng)連鎖故障分析與預(yù)防已經(jīng)引起了電力工作者的高度重視,并且已經(jīng)成為一個(gè)亟待解決的問題。為了克服過于注重個(gè)體動(dòng)態(tài)特性的傳統(tǒng)安全分析方法在揭示復(fù)雜電網(wǎng)整體動(dòng)態(tài)行為上的缺陷,從系統(tǒng)論和整體論角度出發(fā)的系統(tǒng)科學(xué)理論與方法為揭示連鎖故障的全局動(dòng)態(tài)行為提供了新的研究思路。復(fù)雜網(wǎng)絡(luò)理論是系統(tǒng)科學(xué)中的重要分支之一,從網(wǎng)絡(luò)拓?fù)涞囊暯茄芯烤W(wǎng)絡(luò)結(jié)構(gòu)與網(wǎng)絡(luò)功能之間存在的密切關(guān)系。根據(jù)復(fù)雜電網(wǎng)的拓?fù)溥B接關(guān)系,建立相應(yīng)的電力網(wǎng)絡(luò)拓?fù)淠Ｐ?并依此構(gòu)建適合復(fù)雜電網(wǎng)連鎖性停電事故分析的連鎖故障模型,以探討發(fā)生在電力系統(tǒng)中的連鎖故障動(dòng)力學(xué)特性,繼而提出復(fù)雜電網(wǎng)連鎖故障預(yù)防策略是抑制連鎖故障傳播以提高電力系統(tǒng)安全性的一種有力途徑。為此,本論文從復(fù)雜網(wǎng)絡(luò)的視角出發(fā),考慮電力網(wǎng)絡(luò)所具有的特殊電氣特性以及節(jié)點(diǎn)重要性對復(fù)雜電網(wǎng)連鎖故障動(dòng)力學(xué)行為影響上存在的差異,重點(diǎn)研究了復(fù)雜電網(wǎng)重要節(jié)點(diǎn)的識別算法以及連鎖故障的建模過程,并進(jìn)一步提出了連鎖故障預(yù)防模型。本論文的具體研究工作如下：1、復(fù)雜電網(wǎng)拓?fù)涮匦苑治��；趶?fù)雜網(wǎng)絡(luò)理論分析網(wǎng)絡(luò)的動(dòng)力學(xué)性質(zhì)主要是從構(gòu)成網(wǎng)絡(luò)骨架的節(jié)點(diǎn)和連邊入手,研究網(wǎng)絡(luò)拓?fù)鋵W(wǎng)絡(luò)功能的影響。該方法有別于傳統(tǒng)電力系統(tǒng)分析,因此本文著重探討了這兩種分析方法之間存在的區(qū)別與聯(lián)系。進(jìn)一步地,介紹了復(fù)雜電網(wǎng)的基本建模方法并依此構(gòu)建了復(fù)雜網(wǎng)絡(luò)拓?fù)淠Ｐ?分析了復(fù)雜電網(wǎng)拓?fù)浣y(tǒng)計(jì)特性以及其與連鎖故障動(dòng)力學(xué)行為之間存在的復(fù)雜的關(guān)系。2、復(fù)雜網(wǎng)絡(luò)節(jié)點(diǎn)重要性識別算法研究。根據(jù)網(wǎng)絡(luò)拓?fù)浣Y(jié)構(gòu)的統(tǒng)計(jì)參量,首先提出了一種考慮節(jié)點(diǎn)對之間存在相互依賴關(guān)系的關(guān)聯(lián)度中心性指標(biāo),并在其基礎(chǔ)上提出了一種基于信息熵的多屬性節(jié)點(diǎn)重要識別算法；進(jìn)一步地,建立了考慮復(fù)雜電網(wǎng)自身電氣特性的節(jié)點(diǎn)重要度評價(jià)指標(biāo),并依此提出了一種基于基尼系數(shù)的多屬性節(jié)點(diǎn)重要度識別算法。最后通過在IEEE-39節(jié)點(diǎn)系統(tǒng)網(wǎng)絡(luò)中的仿真分析,對比分析了本論文提出的兩種復(fù)雜電網(wǎng)節(jié)點(diǎn)重要度識別算法在評價(jià)效果上的可行性和準(zhǔn)確性。3、復(fù)雜電網(wǎng)連鎖故障建模研究�？紤]到電力系統(tǒng)中的大規(guī)模潮流轉(zhuǎn)移和隱性故障是觸發(fā)復(fù)雜電網(wǎng)連鎖故障的兩大主要因素,故本文從復(fù)雜網(wǎng)絡(luò)的研究視角分別建立了基于拓?fù)涞碾娏ο到y(tǒng)隱性連鎖故障概率模型、電氣負(fù)載下的連鎖故障模型以及計(jì)及隱性故障的電氣負(fù)載下的連鎖故障模型。通過在IEEE-300節(jié)點(diǎn)系統(tǒng)網(wǎng)絡(luò)中的仿真研究,分析了隱性故障與復(fù)雜電網(wǎng)的小世界性對連鎖故障規(guī)模的影響以及不同負(fù)載定義形式與連鎖故障魯棒性之間的關(guān)系。4、復(fù)雜電網(wǎng)連鎖故障預(yù)防建模研究�？紤]到復(fù)雜網(wǎng)絡(luò)節(jié)點(diǎn)重要度對連鎖故障動(dòng)力學(xué)行為之間有著密切的聯(lián)系,建立了相應(yīng)的節(jié)點(diǎn)重要度基礎(chǔ)上的連鎖故障預(yù)防模型,分析了其在降低網(wǎng)絡(luò)建設(shè)成本與提高復(fù)雜網(wǎng)絡(luò)魯棒性之間的關(guān)系,并進(jìn)一步地探討了根據(jù)不同節(jié)點(diǎn)重要度評價(jià)結(jié)果建立的復(fù)雜電網(wǎng)節(jié)點(diǎn)容量優(yōu)化配置模型對建立低成本且高魯棒性網(wǎng)絡(luò)的影響。
[Abstract]:Complex network cascading failure is a dynamic phenomenon that often occurs on the infrastructure network, especially in recent years, which has occurred in a complex power network, which has brought huge loss and influence to the social economy and people's life. Therefore, the analysis and prevention of complex grid linkage barrier has caused the power workers. In order to overcome the shortcomings of the traditional security analysis method which overly pays attention to the dynamic characteristics of the individual, the system theory and methods of system science and holism are provided to reveal the global dynamic behavior of the cascading failures. The complex network theory is one of the important branches of system science. It studies the close relationship between network structure and network function from the perspective of network topology. Based on the topology connection of complex grid, a corresponding topology model of power network is set up. The linkage fault model is analyzed to discuss the dynamic characteristics of the cascading failure in the power system, and then it is proposed that the chain fault prevention strategy of complex power grid is a powerful way to suppress the transmission of cascading failures in order to improve the security of the power system. The difference between the electrical characteristics and the importance of the node importance to the dynamic behavior of the complex network cascading failure is studied. The recognition algorithm of the important nodes of the complex grid and the modeling process of the cascading failures are studied, and the chain fault prevention model is further proposed. The research work of this thesis is as follows: 1, the topology characteristics of the complex power grid Analysis of the dynamic properties of the network based on the complex network theory is mainly from the nodes and sides that constitute the network skeleton and the influence of network topology on the network function. This method is different from the traditional power system analysis. Therefore, this paper focuses on the differences and relations between the two methods. The basic modeling method of complex grid is introduced and a complex network topology model is constructed. The topological statistical characteristics of complex power network and the complex relationship between the complex network and the dynamic behavior of the cascading failure.2, the research of the importance recognition algorithm for complex network nodes are studied. On the basis of it, a kind of important recognition algorithm for multi attribute nodes based on information entropy is proposed, and the evaluation index of node importance considering the electrical characteristics of complex power grid is established, and a kind of Gini coefficient is proposed. Multi attribute node importance recognition algorithm. Finally, through the simulation analysis in the IEEE-39 node system network, the feasibility and accuracy of the evaluation results of two kinds of complex grid node importance recognition algorithms proposed in this paper are compared and analyzed.3, the research of complex network cascading failure modeling. Transfer and recessive faults are the two main factors that trigger the cascading failures of the complex power grid. Therefore, this paper sets up the hidden chain fault probability model of the power system based on the topology of the complex network, the chain fault model under the electric load and the cascading failure model under the electric load of the recessive fault. The simulation research on EE-300 node system network analyzes the influence of the small world on the scale of the cascading failures and the relationship between the different load definition forms and the robustness of the cascading failures, and the research on the modeling of the complex network cascading failure prevention. Considering the dynamics of the complex network nodes, the linkage failure dynamics is considered. There is a close relationship between behavior, and a chain fault prevention model based on the corresponding node importance is established. The relationship between the cost reduction of network construction and the improvement of the complex network robustness is analyzed, and the optimal configuration of the complex network node capacity based on the evaluation results of different node importance is further discussed. The impact of the model on low cost and high robustness network is established.
【學(xué)位授予單位】：西南交通大學(xué)
【學(xué)位級別】：博士
【學(xué)位授予年份】：2014
【分類號】：TM73
本文編號：2140947
[Abstract]:Complex network cascading failure is a dynamic phenomenon that often occurs on the infrastructure network, especially in recent years, which has occurred in a complex power network, which has brought huge loss and influence to the social economy and people's life. Therefore, the analysis and prevention of complex grid linkage barrier has caused the power workers. In order to overcome the shortcomings of the traditional security analysis method which overly pays attention to the dynamic characteristics of the individual, the system theory and methods of system science and holism are provided to reveal the global dynamic behavior of the cascading failures. The complex network theory is one of the important branches of system science. It studies the close relationship between network structure and network function from the perspective of network topology. Based on the topology connection of complex grid, a corresponding topology model of power network is set up. The linkage fault model is analyzed to discuss the dynamic characteristics of the cascading failure in the power system, and then it is proposed that the chain fault prevention strategy of complex power grid is a powerful way to suppress the transmission of cascading failures in order to improve the security of the power system. The difference between the electrical characteristics and the importance of the node importance to the dynamic behavior of the complex network cascading failure is studied. The recognition algorithm of the important nodes of the complex grid and the modeling process of the cascading failures are studied, and the chain fault prevention model is further proposed. The research work of this thesis is as follows: 1, the topology characteristics of the complex power grid Analysis of the dynamic properties of the network based on the complex network theory is mainly from the nodes and sides that constitute the network skeleton and the influence of network topology on the network function. This method is different from the traditional power system analysis. Therefore, this paper focuses on the differences and relations between the two methods. The basic modeling method of complex grid is introduced and a complex network topology model is constructed. The topological statistical characteristics of complex power network and the complex relationship between the complex network and the dynamic behavior of the cascading failure.2, the research of the importance recognition algorithm for complex network nodes are studied. On the basis of it, a kind of important recognition algorithm for multi attribute nodes based on information entropy is proposed, and the evaluation index of node importance considering the electrical characteristics of complex power grid is established, and a kind of Gini coefficient is proposed. Multi attribute node importance recognition algorithm. Finally, through the simulation analysis in the IEEE-39 node system network, the feasibility and accuracy of the evaluation results of two kinds of complex grid node importance recognition algorithms proposed in this paper are compared and analyzed.3, the research of complex network cascading failure modeling. Transfer and recessive faults are the two main factors that trigger the cascading failures of the complex power grid. Therefore, this paper sets up the hidden chain fault probability model of the power system based on the topology of the complex network, the chain fault model under the electric load and the cascading failure model under the electric load of the recessive fault. The simulation research on EE-300 node system network analyzes the influence of the small world on the scale of the cascading failures and the relationship between the different load definition forms and the robustness of the cascading failures, and the research on the modeling of the complex network cascading failure prevention. Considering the dynamics of the complex network nodes, the linkage failure dynamics is considered. There is a close relationship between behavior, and a chain fault prevention model based on the corresponding node importance is established. The relationship between the cost reduction of network construction and the improvement of the complex network robustness is analyzed, and the optimal configuration of the complex network node capacity based on the evaluation results of different node importance is further discussed. The impact of the model on low cost and high robustness network is established.
【學(xué)位授予單位】：西南交通大學(xué)
【學(xué)位級別】：博士
【學(xué)位授予年份】：2014
【分類號】：TM73
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 孟仲偉,魯宗相,宋靖雁;中美電網(wǎng)的小世界拓?fù)淠Ｐ捅容^分析[J];電力系統(tǒng)自動(dòng)化;2004年15期
2 梅生偉;翁曉峰;薛安成;何飛;;基于最優(yōu)潮流的停電模型及自組織臨界性分析[J];電力系統(tǒng)自動(dòng)化;2006年13期
3 謝瓊瑤;鄧長虹;趙紅生;翁毅選;;基于有權(quán)網(wǎng)絡(luò)模型的電力網(wǎng)節(jié)點(diǎn)重要度評估[J];電力系統(tǒng)自動(dòng)化;2009年04期
4 曹一家;王光增;韓禎祥;丁理杰;包哲靜;曹麗華;;考慮電網(wǎng)拓?fù)溲莼倪B鎖故障模型[J];電力系統(tǒng)自動(dòng)化;2009年09期
5 林偉芳;湯涌;孫華東;郭強(qiáng);趙紅光;曾兵;;巴西“2·4”大停電事故及對電網(wǎng)安全穩(wěn)定運(yùn)行的啟示[J];電力系統(tǒng)自動(dòng)化;2011年09期
6 薛飛;雷憲章;Ettore BOMPARD;;電網(wǎng)的結(jié)構(gòu)性安全分析[J];電力系統(tǒng)自動(dòng)化;2011年19期
7 韓禎祥,曹一家;電力系統(tǒng)的安全性及防治措施[J];電網(wǎng)技術(shù);2004年09期
8 范文禮;劉志剛;;基于復(fù)雜網(wǎng)絡(luò)的電網(wǎng)連鎖故障模型研究綜述[J];電力系統(tǒng)自動(dòng)化;2012年16期
9 李勇;劉俊勇;劉曉宇;蔣樂;魏震波;胥威汀;;基于潮流熵的電網(wǎng)連鎖故障傳播元件的脆弱性評估[J];電力系統(tǒng)自動(dòng)化;2012年19期
10 范文禮;劉志剛;;隱性故障對小世界電網(wǎng)連鎖故障的影響分析[J];電力系統(tǒng)自動(dòng)化;2013年21期
相關(guān)博士學(xué)位論文 前4條
1 王凱;基于復(fù)雜網(wǎng)絡(luò)理論的電網(wǎng)結(jié)構(gòu)復(fù)雜性和脆弱性研究[D];華中科技大學(xué);2011年
2 徐東杰;互聯(lián)電力系統(tǒng)低頻振蕩分析方法與控制策略研究[D];華北電力大學(xué)（北京）;2004年
3 殷傳洋;復(fù)雜網(wǎng)絡(luò)上的傳播和耦合動(dòng)力學(xué)過程研究[D];中國科學(xué)技術(shù)大學(xué);2008年
4 孫可;復(fù)雜網(wǎng)絡(luò)理論在電力網(wǎng)中的若干應(yīng)用研究[D];浙江大學(xué);2008年
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