發(fā)布時間：2018-06-30 06:47

  本文選題：風力發(fā)電 + 雙饋感應發(fā)電機　； 參考：《華北電力大學》2014年碩士論文

【摘要】：隨著風力發(fā)電行業(yè)的迅猛發(fā)展,風力發(fā)電技術取得了長足的進步,雙饋感應發(fā)電機以其變速恒頻運行特性、能夠參與系統(tǒng)的無功功率調節(jié)等一系列優(yōu)勢得到了越來越多的青睞。然而,目前雙饋機組的動態(tài)數(shù)學模型不太統(tǒng)一,需要進行深入的研究。近年來,風電機組的單機容量呈不斷增大的趨勢,大容量的風電場對電網的穩(wěn)定性影響凸顯。雙饋風電場接入電力系統(tǒng)后會帶來新的小干擾穩(wěn)定問題。另外,雙饋風電機組具有較為復雜的控制系統(tǒng),模型階數(shù)較高,在風場級的分析時會造成“維數(shù)災”,研究如何對雙饋風電機組的數(shù)學模型進行準確降階也顯得十分重要。 針對目前用于靜態(tài)穩(wěn)定分析的雙饋機組簡化數(shù)學模型大多不考慮網側控制動態(tài)的情況,本文首先建立了含網側控制的雙饋風電機組數(shù)學模型,并對特征值計算結果進行了對比,發(fā)現(xiàn)忽略網側控制的動態(tài)特性會遺漏部分主導模態(tài)(弱阻尼衰減模態(tài)和振蕩模態(tài)),直接影響小干擾穩(wěn)定分析的計算結果的準確性。 對于雙饋機組接入引發(fā)的弱阻尼模態(tài),本文首先計算其對系統(tǒng)矩陣的靈敏度,對靈敏度最高的參數(shù)進行優(yōu)化來提高模態(tài)阻尼比,進而改善系統(tǒng)小干擾穩(wěn)定性。和傳統(tǒng)的盲目對所有參數(shù)優(yōu)化方法相比,針對性強,可以大幅減小工作量。 最后,基于所建立的雙饋風電機組詳細的數(shù)學模型,本文采用了主導模態(tài)分析法提出了不同運行工況下風場級小干擾穩(wěn)定分析雙饋風電機組的降階模型,并采用時域仿真分析法驗證了降階模型的精確性與適用性。
[Abstract]:With the rapid development of wind power industry, wind power generation technology has made great progress, doubly-fed induction generator with its variable speed constant frequency operation characteristics, can participate in the system of reactive power regulation and a series of advantages have been more and more favored. However, the dynamic mathematical model of doubly-fed generating unit is not uniform at present, so it needs to be studied deeply. In recent years, the single unit capacity of wind turbine is increasing, and the influence of large capacity wind farm on the stability of power grid is prominent. When doubly-fed wind farm is connected to power system, it will bring about a new problem of small disturbance stability. In addition, the doubly-fed wind turbine has more complex control system, and the model order is higher, which will cause "dimension disaster" in the analysis of wind field, so it is very important to study how to accurately reduce the order of mathematical model of doubly-fed wind turbine. In view of the fact that most simplified mathematical models of doubly-fed generating units used for static stability analysis do not consider the dynamics of grid-side control, a mathematical model of doubly-fed wind turbines with grid-side control is established in this paper, and the calculation results of eigenvalues are compared. It is found that some dominant modes (weak damping attenuation mode and oscillating mode) will be omitted if the dynamic characteristics of the network side control are ignored, which directly affects the accuracy of the calculation results of the small disturbance stability analysis. For the weakly damped mode induced by the doubly-fed unit, the sensitivity to the system matrix is first calculated, and the parameters with the highest sensitivity are optimized to improve the modal damping ratio and the stability of the system with small disturbance. Compared with the traditional blind optimization method for all parameters, it has strong pertinence and can greatly reduce the workload. Finally, based on the detailed mathematical model of doubly-fed wind turbine, this paper presents a reduced order model for wind field small disturbance stability analysis under different operating conditions by using dominant modal analysis method. The accuracy and applicability of the reduced order model are verified by time domain simulation analysis.
【學位授予單位】：華北電力大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TM614

【參考文獻】

相關期刊論文 前10條

1 胡家兵;賀益康;劉其輝;;基于最佳功率給定的最大風能追蹤控制策略[J];電力系統(tǒng)自動化;2005年24期

2 尹明;李庚銀;周明;趙成勇;;雙饋感應風力發(fā)電機組動態(tài)模型的分析與比較(英文)[J];電力系統(tǒng)自動化;2006年13期

3 張寶群;張伯明;吳文傳;;基于小干擾穩(wěn)定的雙饋感應電機電磁模型降階分析[J];電力系統(tǒng)自動化;2010年10期

4 許寅;陳穎;梅生偉;;風力發(fā)電機組暫態(tài)仿真模型[J];電力系統(tǒng)自動化;2011年09期

5 李晶,王偉勝,宋家驊;雙饋感應發(fā)電機的線性化動態(tài)模型及運行特性分析[J];電網技術;2004年13期

6 藺紅;晁勤;;直驅永磁同步風力發(fā)電系統(tǒng)的降階模型研究[J];電網技術;2012年08期

7 薛桁,朱瑞兆,楊振斌,袁春紅;中國風能資源貯量估算[J];太陽能學報;2001年02期

8 顧和榮;楊子龍;鄔偉揚;;并網逆變器輸出電流滯環(huán)跟蹤控制技術研究[J];中國電機工程學報;2006年09期

9 王忱;石立寶;姚良忠;王黎明;倪以信;;大規(guī)模雙饋型風電場的小擾動穩(wěn)定分析[J];中國電機工程學報;2010年04期

10 楊黎暉;馬西奎;;雙饋風電機組對電力系統(tǒng)低頻振蕩特性的影響[J];中國電機工程學報;2011年10期

相關博士學位論文 前1條

1 郝正航;雙饋風電機組的暫態(tài)行為及其對電力系統(tǒng)穩(wěn)定性影響[D];天津大學;2011年

，

本文編號：2085383