【摘要】：風(fēng)電機(jī)組的電控系統(tǒng)實(shí)現(xiàn)了對(duì)風(fēng)電機(jī)組的控制,如自啟動(dòng)/停機(jī)、平穩(wěn)并網(wǎng)、手動(dòng)和自動(dòng)的無(wú)擾動(dòng)切換、變速變頻控制、自動(dòng)偏航控制、解纜控制、變槳距控制、數(shù)據(jù)監(jiān)測(cè)和處理、自動(dòng)保護(hù)以及故障記錄等。隨著當(dāng)今風(fēng)電產(chǎn)業(yè)快速發(fā)展,針對(duì)風(fēng)電機(jī)組的電控系統(tǒng)故障頻發(fā)的現(xiàn)象,本文對(duì)風(fēng)電機(jī)組電控系統(tǒng)故障檢測(cè)進(jìn)行討論和研究。論文通過(guò)采集和分析風(fēng)速、風(fēng)電機(jī)組運(yùn)行參數(shù)等數(shù)據(jù),針對(duì)電控系統(tǒng)中的變槳故障和主控PLC故障進(jìn)行討論。論文首先匯集了某風(fēng)電場(chǎng)一年的完整數(shù)據(jù),其次結(jié)合運(yùn)行數(shù)據(jù)和維護(hù)數(shù)據(jù)整理出風(fēng)電機(jī)組電控系統(tǒng)中的常見(jiàn)故障類別,再次分別運(yùn)用時(shí)域分析方法、時(shí)頻域分析中的小波分析方法和自適應(yīng)Kurtosis分析三種方法進(jìn)行電控系統(tǒng)故障的診斷分析,最后通過(guò)風(fēng)場(chǎng)實(shí)際數(shù)據(jù)對(duì)上述方法進(jìn)行仿真驗(yàn)證。運(yùn)用時(shí)域分析方法、時(shí)頻域分析和自適應(yīng)Kurtosis分析三種方法進(jìn)行電控系統(tǒng)故障的診斷,時(shí)域分析只能粗略的診斷設(shè)備是否異常,無(wú)法診斷故障部位。風(fēng)電機(jī)組的電控系統(tǒng)中存在著許多的旋轉(zhuǎn)部件,此類部件會(huì)產(chǎn)生一定的振動(dòng)信號(hào)。這些振動(dòng)信號(hào)具有周期變化但是不平穩(wěn)的特性,本文采用的時(shí)頻域分析法和自適應(yīng)Kurtosis方法分析風(fēng)電機(jī)組電控系統(tǒng)中的非平穩(wěn)信號(hào),效果較為明顯,適用于電控系統(tǒng)故障診斷。在MATLAB平臺(tái)下,結(jié)合以上的分析方法,通過(guò)分析功率比值等數(shù)據(jù),并對(duì)比均值、方差、均方幅值和峰值等指標(biāo),得到了一定的故障檢測(cè)規(guī)律。
[Abstract]:The electric control system of wind turbine has realized the control of wind turbine, such as self-start / shutdown, steady grid-connected, manual and automatic no-disturbance switching, variable speed frequency conversion control, automatic yaw control, decoupling control, variable pitch control, etc. Data monitoring and processing, automatic protection and fault recording, etc. With the rapid development of wind power industry, the trouble detection of wind turbine electronic control system is discussed and studied in this paper. By collecting and analyzing wind speed and operating parameters of wind turbine, the paper discusses the faults of variable propeller and main control PLC in electronic control system. Firstly, the paper collects the complete data of a wind farm for one year, then combines the operation data and maintenance data to sort out the common types of faults in the wind turbine electronic control system, and then uses the time domain analysis method, respectively. The wavelet analysis method and adaptive Kurtosis analysis method in time-frequency domain analysis are used to diagnose and analyze the fault of electronic control system. Finally, the simulation results of the above methods are carried out through the actual wind field data. Time domain analysis, time and frequency domain analysis and adaptive Kurtosis analysis are used to diagnose the fault of electronic control system. The time domain analysis can only roughly diagnose whether the equipment is abnormal or not. There are many rotating parts in the electric control system of wind turbine, which will produce certain vibration signals. These vibration signals have the characteristics of periodic variation but non-stationary. The time-frequency domain analysis method and adaptive Kurtosis method are used to analyze the non-stationary signals in the wind turbine electrical control system. The results are obvious and suitable for the fault diagnosis of the electronic control system. On the MATLAB platform, by analyzing the power ratio data and comparing the mean value, variance, mean square amplitude and peak value, a certain rule of fault detection is obtained.
【學(xué)位授予單位】：河北工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：TM315

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