本文選題：風力發(fā)電　切入點：PWM變流器　出處：《江南大學》2014年碩士論文

【摘要】：風電產(chǎn)業(yè)的迅猛發(fā)展，對風力發(fā)電系統(tǒng)中的各組成部件裝置的可靠性和穩(wěn)定性提出了更高的要求。雙脈沖寬度調(diào)制(Pulse Width Modulation, PWM)變流器作為風電系統(tǒng)與電網(wǎng)的接口，既要控制電壓的穩(wěn)定，又要配合實現(xiàn)最大風能利用率，同時也是最容易發(fā)生故障的部件之一。變流器一旦發(fā)生故障，如不及時處理，輕則會降低供電質(zhì)量，重則威脅到整個風電系統(tǒng)的正常工作和電網(wǎng)安全。因此，如何在雙PWM變流器發(fā)生故障時，準確、快速地判斷故障類型，并及時進行故障的定位與診斷是有效提高風電系統(tǒng)的安全性和可靠性，降低風電成本的重要手段。 論文首先介紹了風電系統(tǒng)中雙PWM變流器的工作特點，對絕緣柵雙極型晶體管(Insulated Gate Bipolar Transistor, IGBT)開路故障進行了分類，分析了整流工作狀態(tài)下PWM變流器的輸出電壓特性，討論了IGBT功率管發(fā)生開路故障時對變流器輸出電壓的影響，借助仿真實驗，驗證了故障分類的合理性。 其次，利用小波包變換更好的分析能力，對變流器的輸出電壓進行處理，得到了不同類型故障的故障特征信息，實現(xiàn)了對整流工作狀態(tài)下PWM變流器的初步故障識別，仿真結(jié)果表明該方法的有效性。 再次，針對PWM變流器的逆變工作狀態(tài)，探討了故障對逆變器工作特性的影響，采用小波包變換獲取不同故障類型時的故障特征信息，再利用支持向量機的分類能力對故障信息進行分類，實現(xiàn)了對PWM變流器IGBT功率管開路故障診斷，仿真結(jié)果證明了該方法的準確性。 最后，針對雙PWM變流器的結(jié)構(gòu)特點，為了使雙PWM變流器發(fā)生IGBT功率管開路故障后能盡早地恢復正常運行狀態(tài)，提出了一種變流器開路故障容錯拓撲結(jié)構(gòu)，，通過仿真分析驗證了該容錯策略的合理性。
[Abstract]:With the rapid development of wind power industry, the reliability and stability of the components of wind power system are required.As the interface between wind power system and power grid, the dual pulse width modulation pulse Width modulation (PWM) converter not only controls the stability of voltage, but also realizes the maximum wind energy utilization ratio, and is also one of the most vulnerable components.Once the converter fails, if it is not dealt with in time, it will reduce the quality of power supply, and threaten the normal operation of the whole wind power system and the safety of the power grid.Therefore, how to judge the fault type accurately and quickly, and to locate and diagnose the fault in time is an important means to improve the safety and reliability of wind power system and reduce the cost of wind power.This paper first introduces the working characteristics of double PWM converter in wind power system, classifies the open circuit faults of insulated gate bipolar transistor insulated Gate Bipolar transistor (IGBT), and analyzes the output voltage characteristics of PWM converter under rectifying operation.The effect of open circuit fault of IGBT power transistor on output voltage of converter is discussed. The rationality of fault classification is verified by simulation experiment.Secondly, the output voltage of the converter is processed by using wavelet packet transform, and the fault characteristic information of different types of faults is obtained, and the initial fault identification of PWM converter under rectifying working condition is realized.Simulation results show the effectiveness of the method.Thirdly, aiming at the inverter working state of PWM converter, the influence of fault on inverter performance is discussed. Wavelet packet transform is used to obtain the fault characteristic information of different fault types.Then the classification ability of support vector machine is used to classify the fault information, and the open circuit fault diagnosis of IGBT power transistor in PWM converter is realized. The simulation results prove the accuracy of the method.Finally, according to the structural characteristics of the double PWM converter, in order to restore the normal operation state of the double PWM converter as soon as possible after the open circuit fault of the IGBT power transistor occurs, a fault tolerant topology for open circuit fault of the converter is proposed.The rationality of the fault-tolerant strategy is verified by simulation analysis.
【學位授予單位】：江南大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TM614

【參考文獻】

相關(guān)期刊論文 前10條

1 肖燕彩;張清;;基于模糊支持向量機的變壓器故障診斷[J];北京交通大學學報;2012年01期

2 梅雪峰;鄭建勇;梅軍;郭學英;;基于電流軌跡和神經(jīng)網(wǎng)絡的逆變器故障診斷方法[J];電測與儀表;2010年04期

3 鄧秋玲;姚建剛;黃守道;吳蓉;王良之;王卿明;;直驅(qū)永磁風力發(fā)電系統(tǒng)可靠性技術(shù)綜述[J];電網(wǎng)技術(shù);2011年09期

4 周生奇;周雒維;孫鵬菊;李亞萍;;小波相關(guān)分析在IGBT模塊缺陷診斷中的應用[J];電機與控制學報;2012年12期

5 賞吳俊;何正友;胡海濤;母秀清;林建輝;;基于IGBT輸出功率的逆變器開路故障診斷方法[J];電網(wǎng)技術(shù);2013年04期

6 朱松青;史金飛;;狀態(tài)監(jiān)測與故障診斷中的主元分析法[J];機床與液壓;2007年01期

7 張東江;仇志凌;陳天錦;張建興;;并聯(lián)并網(wǎng)變流器的容錯不平衡控制[J];電力系統(tǒng)保護與控制;2011年10期

8 王龍;沈艷霞;季凌燕;;基于小波降噪和EMD方法的風力發(fā)電系統(tǒng)齒輪箱故障診斷[J];江南大學學報(自然科學版);2012年02期

9 戴毅;胡立錦;張新燕;;小波包分析和神經(jīng)網(wǎng)絡在風電機組變頻器故障診斷中的應用[J];電力與能源;2012年02期

10 沈艷霞;王龍;趙芝璞;;基于改進HHT的風力發(fā)電系統(tǒng)軸承故障診斷[J];測控技術(shù);2013年09期

本文編號：1708107