本文選題：大規(guī)模風(fēng)電場群 + 功率波動(dòng)性�。� 參考：《東北電力大學(xué)》2017年碩士論文

【摘要】：現(xiàn)代社會(huì)的生產(chǎn)生活都離不開電力的支持,而隨著電力的發(fā)展,傳統(tǒng)能源的弊端日益明顯,主要表現(xiàn)在能源的緊缺和對環(huán)境造成的污染。因此,尋找儲(chǔ)量豐富的清潔能源是未來電力發(fā)展的基礎(chǔ),其中風(fēng)能源以其豐富的儲(chǔ)量和易于獲得的特點(diǎn)成為全球發(fā)展最為迅速的清潔能源之一。隨著我國風(fēng)電技術(shù)的發(fā)展,越來越多的風(fēng)電場投入運(yùn)行,風(fēng)電場群逐漸規(guī)�；�,風(fēng)電所特有的時(shí)空分布差異性在大規(guī)模風(fēng)電場群中得以充分體現(xiàn),表現(xiàn)為風(fēng)電場群的總輸出功率區(qū)別其組成部分的任一風(fēng)電場,其波動(dòng)性減弱的現(xiàn)象即為匯聚效應(yīng)。風(fēng)電并網(wǎng)需要克服的一點(diǎn)即是風(fēng)電的波動(dòng)性,研究風(fēng)電場群的匯聚效應(yīng)極具工程利用價(jià)值。本文所有的研究分析都以實(shí)際工程作為依托。首先從風(fēng)電功率波動(dòng)趨勢的角度進(jìn)行匯聚效應(yīng)的機(jī)理分析;接著分別從波動(dòng)特性和宏觀特性的角度對單場和場群的輸出功率進(jìn)行數(shù)學(xué)描述,通過對比分析,確定匯聚效應(yīng)的演化趨勢;再者建立了一種基于模糊聚類方法的分層匯聚規(guī)則,歸納不同層級的風(fēng)力發(fā)電特有的匯聚效應(yīng)現(xiàn)象及其演化規(guī)律;繼而通過趨勢外推法預(yù)測規(guī)劃目標(biāo)年輸出功率特征值,構(gòu)建了持續(xù)功率曲線的預(yù)測模型;最后進(jìn)行算例分析,驗(yàn)證了匯聚效應(yīng)的演化規(guī)律并證明了預(yù)測模型的有效性。本文在對地理數(shù)據(jù)處理中進(jìn)行了三維經(jīng)緯度轉(zhuǎn)化為二維相對位置的處理,使地理數(shù)據(jù)更適于數(shù)學(xué)建模以及工程應(yīng)用。本文為研究匯聚演化規(guī)律建立了一種基于模糊聚類方法的分層級匯聚規(guī)則,對實(shí)際風(fēng)電場群進(jìn)行逐層匯聚,從而建立匯聚效應(yīng)特征值的預(yù)測模型。本文提出的數(shù)據(jù)處理方法和匯聚研究過程更適于實(shí)際工程的使用,并經(jīng)過實(shí)例的證明,具有理論價(jià)值和現(xiàn)實(shí)意義。
[Abstract]:The production and life of modern society can not be separated from the support of electric power. With the development of electric power, the disadvantages of traditional energy are becoming more and more obvious, which are mainly reflected in the shortage of energy and the pollution to the environment. Therefore, finding clean energy with abundant reserves is the basis of the future development of electric power, among which wind energy has become one of the most rapidly developing clean energy sources in the world because of its abundant reserves and easy to obtain. With the development of wind power technology in China, more and more wind farms have been put into operation, and wind farm groups are becoming more and more large-scale. The spatial and temporal distribution differences of wind power have been fully reflected in large-scale wind farm groups. The phenomenon that the total output power of wind farm group distinguishes any wind farm with its component is convergence effect. One thing to overcome in wind power grid connection is the fluctuation of wind power. It is very valuable to study the convergent effect of wind farm cluster. All the research and analysis in this paper are based on the actual project. Firstly, the mechanism of convergent effect is analyzed from the angle of wind power fluctuation trend, and then the output power of single field and field group is described mathematically from the angle of fluctuation characteristic and macroscopic characteristic, and the output power of single field and field group is analyzed by comparison and analysis. Thirdly, a hierarchical clustering rule based on fuzzy clustering method is established to sum up the unique convergence effect phenomenon and its evolution law of wind power generation at different levels. Then, the prediction model of the sustained power curve is constructed by using the trend extrapolation method to predict the output power eigenvalue of the target year. Finally, the evolution law of convergence effect is verified and the validity of the prediction model is proved. In this paper, three dimensional longitude and latitude are transformed into two dimensional relative position in geographic data processing, which makes geographic data more suitable for mathematical modeling and engineering application. In this paper, a hierarchical clustering rule based on fuzzy clustering method is established to study the convergence evolution law, and a prediction model of the characteristic value of convergence effect is established. The data processing method and convergent research process presented in this paper are more suitable for practical engineering and proved to be of theoretical value and practical significance.
【學(xué)位授予單位】：東北電力大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TM614

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 姜文玲;王勃;汪寧渤;丁坤;楊紅英;;多時(shí)空尺度下大型風(fēng)電基地出力特性研究[J];電網(wǎng)技術(shù);2017年02期

2 楊茂;齊s，

本文編號：1848300