本文選題：風(fēng)電機(jī)組 + 故障特征�。� 參考：《華北電力大學(xué)》2017年碩士論文

【摘要】：目前,風(fēng)力發(fā)電越來越受到全球各國(guó)的重視,隨著風(fēng)電機(jī)組的逐年投運(yùn),機(jī)組也逐步進(jìn)入事故高發(fā)階段。風(fēng)力發(fā)電機(jī)組故障診斷能夠有效減少重大事故的發(fā)生,而且可實(shí)時(shí)監(jiān)測(cè)風(fēng)力發(fā)電機(jī)組的運(yùn)行狀態(tài),識(shí)別其異常情況,降低運(yùn)行成本,保障機(jī)組安全高效運(yùn)行。因此,風(fēng)力發(fā)電機(jī)組的系統(tǒng)監(jiān)測(cè)與故障診斷已經(jīng)成為風(fēng)電發(fā)展中的重要研究方向。針對(duì)風(fēng)力發(fā)電機(jī)組故障頻發(fā)的現(xiàn)象,本文在深入分析風(fēng)電場(chǎng)SCADA數(shù)據(jù)的基礎(chǔ)上,對(duì)機(jī)組的整體運(yùn)行狀態(tài)作了評(píng)估,并且對(duì)其故障率較高的部位—發(fā)電機(jī)與齒輪箱,作了進(jìn)一步的分析與故障診斷設(shè)計(jì)。主要內(nèi)容如下:(1)介紹了風(fēng)力發(fā)電機(jī)組的工作原理與結(jié)構(gòu)組成,針對(duì)風(fēng)電機(jī)組的運(yùn)行特性,分析了機(jī)組的故障機(jī)理,并對(duì)機(jī)組故障易發(fā)部位及故障診斷常用方法進(jìn)行研究,提出針對(duì)不同信號(hào)源的故障診斷方法,進(jìn)而設(shè)計(jì)了本文故障診斷及狀態(tài)監(jiān)測(cè)方法。(2)運(yùn)用模糊綜合評(píng)判的方法,由某風(fēng)電場(chǎng)SCADA系統(tǒng)選取出某個(gè)時(shí)刻機(jī)組的運(yùn)行數(shù)據(jù),對(duì)風(fēng)電機(jī)組建立模糊綜合評(píng)判模型,按照所建立的模型,對(duì)機(jī)組的運(yùn)行狀態(tài)進(jìn)行劃分,本文將機(jī)組運(yùn)行狀態(tài)劃分為“優(yōu)、良、中、差”四個(gè)等級(jí),當(dāng)機(jī)組工作在“差”狀態(tài)時(shí),表明機(jī)組運(yùn)行已經(jīng)出現(xiàn)故障,需要立即停機(jī)進(jìn)行檢查,避免故障嚴(yán)重化,造成更大的損失。(3)風(fēng)力發(fā)電機(jī)組出現(xiàn)故障時(shí),需要對(duì)機(jī)組的各個(gè)子系統(tǒng)進(jìn)行故障診斷。本文采用非線性狀態(tài)評(píng)估方法,對(duì)機(jī)組的發(fā)電機(jī)和齒輪箱分別進(jìn)行建模與預(yù)警,通過設(shè)置溫度偏移來模擬故障發(fā)生,進(jìn)而驗(yàn)證了非線性狀態(tài)評(píng)估方法對(duì)發(fā)電機(jī)與齒輪箱故障診斷與狀態(tài)監(jiān)測(cè)的可行性,為風(fēng)電機(jī)組的故障診斷與狀態(tài)監(jiān)測(cè)提供了新的思路和參考。(4)風(fēng)力發(fā)電機(jī)組的子系統(tǒng)出現(xiàn)故障時(shí)會(huì)對(duì)機(jī)組造成一定的影響,本文通過分析發(fā)電機(jī)或齒輪箱出現(xiàn)故障時(shí)對(duì)機(jī)組輸出功率的影響,說明了風(fēng)電機(jī)組故障的相互關(guān)聯(lián)性,并且通過對(duì)影響的進(jìn)一步分析,得出了發(fā)電機(jī)側(cè)故障對(duì)機(jī)組的影響大于齒輪箱側(cè)的結(jié)果,為風(fēng)電機(jī)組排除故障提供了一定的參考。
[Abstract]:At present, wind power generation is paid more and more attention by the countries all over the world. With the wind turbine running year by year, the wind turbine has gradually entered the stage of high accident rate. The fault diagnosis of wind turbine can effectively reduce the occurrence of serious accidents, and can monitor the operating state of wind turbine in real time, identify its abnormal situation, reduce the operating cost and ensure the safe and efficient operation of wind turbine. Therefore, wind turbine system monitoring and fault diagnosis has become an important research direction in wind power development. In this paper, based on the analysis of wind farm SCADA data, the overall operating state of wind turbine generator is evaluated, and the high failure rate of generator and gearbox is discussed. Further analysis and fault diagnosis design are made. The main contents are as follows: (1) the working principle and structure of wind turbine are introduced. According to the operating characteristics of wind turbine, the fault mechanism of wind turbine is analyzed, and the fault prone parts and common methods of fault diagnosis are studied. This paper presents a fault diagnosis method for different signal sources, and then designs the method of fault diagnosis and condition monitoring in this paper. By using the method of fuzzy comprehensive evaluation, the operation data of the unit at a certain time are selected from the SCADA system of a wind farm. The fuzzy comprehensive evaluation model of wind turbine is established. According to the established model, the operating state of the unit is divided into four grades: "excellent, good, medium and bad". When the unit is working in a "bad" state, the operating state of the unit is divided into four grades: "excellent, good, medium and bad". It shows that the operation of the unit has already appeared the fault, it is necessary to stop immediately to check, avoid the fault serious, cause bigger loss. 3) when the wind turbine has the fault, need to carry on the fault diagnosis to each subsystem of the unit. In this paper, the nonlinear state evaluation method is used to model and warn the generator and gearbox respectively, and the fault is simulated by setting temperature offset. Furthermore, the feasibility of nonlinear state evaluation method for fault diagnosis and condition monitoring of generator and gearbox is verified. It provides a new way of thinking and reference for wind turbine fault diagnosis and condition monitoring. By analyzing the influence of generator or gearbox failure on the output power of the unit, this paper explains the interrelation of the wind turbine fault, and through the further analysis of the influence, It is concluded that the effect of generator side fault is greater than that of gearbox side, which provides a certain reference for wind turbine troubleshooting.
【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】：2017
【分類號(hào)】：TM315

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