本文選題：電力通信網(wǎng) + 關(guān)鍵節(jié)點(diǎn)　； 參考：《南京信息工程大學(xué)》2016年碩士論文

【摘要】：電力通信網(wǎng)是用來(lái)服務(wù)電力系統(tǒng)的一種通信專網(wǎng),電力通信網(wǎng)包括語(yǔ)音、數(shù)據(jù)、視頻和多媒體這四大類業(yè)務(wù)。運(yùn)行上述四大類電力通信業(yè)務(wù)需要電力通信網(wǎng)有著較高的可靠性和安全性。電力通信網(wǎng)在智能電網(wǎng)的應(yīng)用中,起到了至關(guān)重要的作用。最近幾年里,電力系統(tǒng)發(fā)生了巨大的變化,與此同時(shí)電力系統(tǒng)的規(guī)模也在日益的擴(kuò)大,并且電力部門對(duì)電力系統(tǒng)的維護(hù)和管理水平也在不斷的提高,然而電力通信網(wǎng)發(fā)生的故障次數(shù)和故障率卻沒有得到相應(yīng)的減少和降低。其主要的是：大量的電力系統(tǒng)業(yè)務(wù)都加載在電力通信網(wǎng)上運(yùn)行和傳輸,因此導(dǎo)致了電力通信網(wǎng)的壓力劇增,而電力通信部門又沒有有效的方法來(lái)提高通信網(wǎng)的可靠性和安全性。過去,電力系統(tǒng)生產(chǎn)運(yùn)行部門采取的方法是單一的依靠更新設(shè)備并對(duì)通信網(wǎng)絡(luò)進(jìn)行改造、升級(jí)和擴(kuò)容來(lái)減少通信中斷次數(shù)和故障率,然而這些方法是遠(yuǎn)遠(yuǎn)不夠的。因?yàn)橹挥性谕ㄐ胖袛嗷蚴峭ㄐ艠I(yè)務(wù)運(yùn)行出現(xiàn)問題的時(shí)候才能夠察覺,但那時(shí)損失己經(jīng)造成。這是一種“后知后覺”的做法,并不能有效的避免電力公司造成的損失。本文針對(duì)以上問題而做出如下幾個(gè)方面的研究工作,目的在于確實(shí)有效的提高電力通信網(wǎng)的安全性和可靠性并對(duì)電力通信網(wǎng)故障做到“防患于未然”：利用復(fù)雜網(wǎng)絡(luò)識(shí)別電力通信網(wǎng)中網(wǎng)絡(luò)拓?fù)浣Y(jié)構(gòu)中關(guān)鍵點(diǎn)。通過快速密度聚類算法進(jìn)行了無(wú)監(jiān)督學(xué)習(xí)分類,將節(jié)點(diǎn)的重要性進(jìn)行等級(jí)劃分,可以有效的應(yīng)用于電力通信網(wǎng)節(jié)點(diǎn)的重要性評(píng)價(jià)中,為電力通信網(wǎng)的規(guī)劃作為支撐。利用最優(yōu)化理論實(shí)現(xiàn)電力通信網(wǎng)帶寬的分配。在實(shí)際規(guī)劃中,要實(shí)現(xiàn)對(duì)每個(gè)鏈路之間的帶寬進(jìn)行分配是一個(gè)很復(fù)雜的問題。本文利用最優(yōu)化理論實(shí)現(xiàn)通信鏈路的最優(yōu)化,并在最優(yōu)化的基礎(chǔ)上實(shí)現(xiàn)帶寬的合理分配。利用大數(shù)據(jù)分析技術(shù)對(duì)電力通信網(wǎng)的帶寬進(jìn)行預(yù)測(cè)。電力通信網(wǎng)帶寬的預(yù)測(cè)是電力通信網(wǎng)規(guī)劃的一個(gè)重要方面,本文利用大數(shù)據(jù)分析技術(shù),通過對(duì)歷史實(shí)際使用帶寬數(shù)據(jù)的分析,建立預(yù)測(cè)模型,實(shí)現(xiàn)電力通信網(wǎng)的帶寬預(yù)測(cè)。
[Abstract]:Power communication network is a kind of special communication network used to serve power system. Power communication network includes four kinds of services: voice, data, video and multimedia. The operation of the four types of power communication services requires high reliability and security of the power communication network. Power communication network plays an important role in the application of smart grid. In recent years, great changes have taken place in the electric power system. At the same time, the scale of the power system is expanding day by day, and the level of maintenance and management of the power system has been continuously improved. However, the number of failures and the failure rate of power communication network have not been reduced. The main point is that a large number of power system services are loaded on the power communication network to run and transmit, which results in the pressure of the power communication network increased sharply, and there is no effective method to improve the reliability and security of the communication network in the power communication department. In the past, the methods adopted by the production and operation department of power system were to reduce the number of communication interruptions and the failure rate by simply updating the equipment and reforming, upgrading and expanding the communication network, but these methods were far from enough. Because it can only be detected when the communication is interrupted or if the communication service is not running properly, but the loss is already caused by that time. This is a "hindsight", can not effectively avoid the losses caused by power companies. In view of the above problems, this paper makes the following research work in several aspects, The purpose of this paper is to improve the security and reliability of electric power communication network effectively and to prevent the trouble in the power communication network. The key points of the network topology in the power communication network are identified by using the complex network. By using the fast density clustering algorithm to classify unsupervised learning and classify the importance of nodes, it can be effectively applied to the evaluation of the importance of nodes in electric power communication networks, and can be supported by the planning of power communication networks. The optimization theory is used to distribute the bandwidth of power communication network. In practical planning, it is a complex problem to allocate the bandwidth between each link. In this paper, the optimization theory is used to realize the optimization of communication link, and the reasonable allocation of bandwidth is realized on the basis of optimization. Using big data analysis technology to forecast the bandwidth of electric power communication network. The prediction of power communication network bandwidth is an important aspect of power communication network planning. This paper makes use of big data analysis technology, through the analysis of historical actual use of bandwidth data, establishes a prediction model to realize the power communication network bandwidth prediction.
【學(xué)位授予單位】：南京信息工程大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2016
【分類號(hào)】：TM73;TP181
，

本文編號(hào)：1851158