本文選題：風(fēng)電機(jī)組　切入點(diǎn)：狀態(tài)維修　出處：《華北電力大學(xué)》2014年碩士論文　論文類(lèi)型：學(xué)位論文

【摘要】：隨著世界能源危機(jī)和環(huán)境的日益惡化,風(fēng)電等清潔能源的發(fā)展已經(jīng)成為解決全球能源問(wèn)題的重要解決措施。風(fēng)電行業(yè)的技術(shù)發(fā)展日趨成熟使得風(fēng)電成為清潔能源電力領(lǐng)域中不可缺少的中堅(jiān)力量。但是,隨著風(fēng)電機(jī)組裝機(jī)容量日益增大,風(fēng)電機(jī)組各個(gè)設(shè)備的故障和損壞等問(wèn)題日益凸顯,同時(shí)維修管理的過(guò)度和不及時(shí)威脅著機(jī)組的運(yùn)行,進(jìn)而造成電廠經(jīng)濟(jì)損失,影響電廠的經(jīng)濟(jì)效益,現(xiàn)行的定期維修體制已經(jīng)不能滿(mǎn)足現(xiàn)場(chǎng)需求,對(duì)電廠設(shè)備開(kāi)展?fàn)顟B(tài)維修已經(jīng)成為未來(lái)的發(fā)展趨勢(shì)。 本文以現(xiàn)役的風(fēng)力發(fā)電機(jī)組為研究對(duì)象,開(kāi)展風(fēng)力發(fā)電機(jī)組狀態(tài)維修決策研究,在分析設(shè)備全周期固有可靠性基礎(chǔ)之上,分別從設(shè)備狀態(tài)評(píng)價(jià)及趨勢(shì)預(yù)測(cè)和狀態(tài)維修時(shí)機(jī)決策角度進(jìn)行分析探究,并結(jié)合故障預(yù)警和故障診斷形成完善的風(fēng)電場(chǎng)設(shè)備狀態(tài)維修決策機(jī)制,從而確保風(fēng)電機(jī)組運(yùn)行的安全性、可靠性和“零故障”。本文主要研究?jī)?nèi)容為： 1.全面分析風(fēng)電場(chǎng)設(shè)備維修對(duì)象,構(gòu)造維修分析決策知識(shí)庫(kù),為狀態(tài)維修決策提供知識(shí)支持。從風(fēng)電機(jī)組的結(jié)構(gòu)、重要功能部件、可靠性分析和監(jiān)測(cè)的角度全面剖析狀態(tài)維修決策的研究對(duì)象,針對(duì)風(fēng)電機(jī)組不同設(shè)備基礎(chǔ)知識(shí)分析,選擇不同維修決策模型,為接下來(lái)的維修決策過(guò)程提供基本的信息支持。 2.建立風(fēng)力發(fā)電機(jī)組基于實(shí)時(shí)可靠性分析的狀態(tài)維修決策模型,結(jié)合風(fēng)電機(jī)組在線監(jiān)測(cè)數(shù)據(jù),實(shí)時(shí)的評(píng)價(jià)機(jī)組以及設(shè)備的實(shí)時(shí)可靠性,了解風(fēng)電設(shè)備當(dāng)前所處狀態(tài),對(duì)設(shè)備所處狀態(tài)進(jìn)行劃分。通過(guò)建立實(shí)時(shí)可靠性趨勢(shì)預(yù)測(cè)模型判斷風(fēng)電設(shè)備狀態(tài)的發(fā)展趨勢(shì)及狀態(tài)變化的速度,并根據(jù)預(yù)先設(shè)置的狀態(tài)閾值,給出運(yùn)行和維修建議。 3.建立基于比例失效模型的狀態(tài)維修決策,結(jié)合現(xiàn)有風(fēng)電場(chǎng)故障預(yù)警、診斷技術(shù)的發(fā)展,提出了一套完整的狀態(tài)維修決策體系,通過(guò)MATLAB編程實(shí)現(xiàn)該模型的參數(shù)估計(jì),利用最大可用度確定最優(yōu)維修閡值,并繪制其維修決策圖,通過(guò)實(shí)際風(fēng)電機(jī)組狀態(tài)監(jiān)測(cè)數(shù)據(jù)在維修決策圖中描點(diǎn),得到最優(yōu)的維修時(shí)機(jī)決策曲線,最終確定需要實(shí)施的維修活動(dòng)。
[Abstract]:With the world energy crisis and the worsening of the environment, The development of clean energy, such as wind power, has become an important solution to the global energy problem. With the development of wind power technology, wind power has become an indispensable backbone of clean energy and power. With the increasing installed capacity of wind turbine, the problems such as failure and damage of each equipment of wind turbine are becoming more and more prominent. At the same time, the excessive maintenance management threatens the operation of the unit and causes the economic loss of power plant. Affecting the economic benefits of power plants, the current periodic maintenance system can no longer meet the demand on the spot, and it has become a trend of development in the future to carry out condition maintenance for power plant equipment. This paper takes the active wind turbine as the research object, carries out the wind turbine condition maintenance decision research, on the basis of analyzing the inherent reliability of the whole period of the equipment, From the point of view of equipment status evaluation, trend prediction and condition maintenance timing decision, and combining with fault warning and fault diagnosis to form a perfect decision-making mechanism of wind farm equipment condition maintenance. So as to ensure the safety, reliability and "zero failure" of wind turbine. The main contents of this paper are as follows:. 1. Analyzing the maintenance object of wind farm equipment, constructing the knowledge base of maintenance analysis decision, providing knowledge support for condition maintenance decision. From the perspective of reliability analysis and monitoring, the research object of condition maintenance decision making is analyzed. According to the basic knowledge analysis of different equipments of wind turbine, different maintenance decision models are selected to provide basic information support for the next maintenance decision-making process. 2. Establish the condition maintenance decision model of wind turbine based on real-time reliability analysis, combine the on-line monitoring data of wind turbine, evaluate the real-time reliability of wind turbine and equipment in real time, understand the current status of wind power equipment. The state of the equipment is divided, and the development trend and the speed of the state change of the wind power equipment are judged by establishing the real-time reliability trend prediction model, and the operation and maintenance suggestions are given according to the preset state threshold. 3. The decision of condition maintenance based on proportional failure model is established. Combined with the development of existing wind farm fault warning and diagnosis technology, a complete decision system of condition maintenance is put forward. The parameter estimation of the model is realized by MATLAB programming. The optimal maintenance threshold value is determined by the maximum availability, and the maintenance decision diagram is drawn, and the optimal maintenance opportunity decision curve is obtained by drawing the points in the maintenance decision diagram of the actual wind turbine condition monitoring data. Finalize maintenance activities to be implemented.
【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(lèi)號(hào)】：TM315

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本文編號(hào)：1564482