本文選題：二次設(shè)備　切入點(diǎn)：全壽命周期管理　出處：《華北電力大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

【摘要】：變電站二次設(shè)備是電力系統(tǒng)穩(wěn)定運(yùn)行的重要組成部分,根據(jù)具體職能的分類,它們擔(dān)負(fù)著對(duì)一次設(shè)備監(jiān)察、測(cè)量、控制、保護(hù)以及調(diào)節(jié)的重要任務(wù),因此二次設(shè)備的正常運(yùn)行關(guān)乎整個(gè)電力系統(tǒng)的穩(wěn)定運(yùn)行。近年來,越來越多的專家學(xué)者將注意力集中到了二次設(shè)備全壽命周期管理及故障預(yù)測(cè)這一重要且富有發(fā)展前景的科學(xué)領(lǐng)域。越來越多的二次設(shè)備全壽命周期管理及監(jiān)測(cè)方法被學(xué)者提出,其中有相當(dāng)一部分已經(jīng)被開發(fā)為成熟的產(chǎn)品,進(jìn)入市場(chǎng)。而部分非接觸監(jiān)測(cè)法由于其獨(dú)特的優(yōu)越性而廣受廠家與學(xué)者的歡迎。 本文通過變電站二次系統(tǒng)LCC分析,從系統(tǒng)最優(yōu)的角度考慮問題,在設(shè)備壽命的各個(gè)階段堅(jiān)定地樹立壽命周期成本這個(gè)全面綜合的成本觀念,以達(dá)到以盡可能少的成本確保國(guó)家電力供應(yīng)的總目標(biāo)。同時(shí)通過由概率論發(fā)展而來的貝葉斯網(wǎng)絡(luò)法,并將其利用到故障預(yù)測(cè)中,通過其對(duì)系統(tǒng)的建模,故障預(yù)測(cè)得以更加直觀、形象化的實(shí)現(xiàn)。本文首先查閱文獻(xiàn)資料以及產(chǎn)品說明,介紹了目前二次設(shè)備的主要類型,以及各類二次設(shè)備所具有的自檢功能,整理了相應(yīng)的自檢信息；介紹了貝葉斯網(wǎng)絡(luò)故障預(yù)測(cè)法的基本原理,針對(duì)運(yùn)行的低壓減載裝置,利用貝葉斯網(wǎng)絡(luò)法設(shè)計(jì)了一種應(yīng)用方案：將該裝置的每個(gè)模塊分別建模,監(jiān)視其各元件的運(yùn)行狀況,得出其故障概率,根據(jù)網(wǎng)絡(luò)拓?fù)浣Y(jié)構(gòu)計(jì)算出最終的子節(jié)點(diǎn),也就是該模塊所能實(shí)現(xiàn)的功能的故障概率,對(duì)此設(shè)計(jì)出檢修方案,實(shí)現(xiàn)故障預(yù)測(cè)。
[Abstract]:Substation secondary equipment is an important part of the stable operation of power system. According to the classification of specific functions, they undertake the important tasks of monitoring, measuring, controlling, protecting and regulating primary equipment. Therefore, the normal operation of the secondary equipment is related to the stable operation of the whole power system. More and more experts and scholars have focused their attention on the important and promising scientific field of life-cycle management and fault prediction of secondary equipment. More and more methods of life-cycle management and monitoring of secondary equipment have been proposed by scholars. Some of them have been developed as mature products and entered the market, while some non-contact monitoring methods have been widely welcomed by manufacturers and scholars because of their unique advantages. Based on the LCC analysis of substation secondary system, this paper considers the problem from the point of view of system optimization, and firmly sets up the comprehensive cost concept of life cycle cost in every stage of equipment life. At the same time, the Bayesian network developed from probability theory is applied to the fault prediction, and through the modeling of the system, the fault prediction is more intuitionistic. The realization of visualization. Firstly, this paper reviews the literature and product description, introduces the main types of secondary equipment and the self-checking function of all kinds of secondary equipment, and arranges the corresponding self-examination information. This paper introduces the basic principle of Bayesian network fault prediction method, and designs an application scheme by using Bayesian network method for the low voltage load reduction device. Each module of the device is modeled separately to monitor the running status of each component. The fault probability is obtained and the final sub-nodes are calculated according to the network topology, which is the failure probability of the function that the module can realize, and the overhaul scheme is designed to realize the fault prediction.
【學(xué)位授予單位】：華北電力大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TM63

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