本文選題：季風(fēng)　切入點(diǎn)：小波去噪　出處：《天津大學(xué)》2014年碩士論文

【摘要】：季風(fēng)是亞洲和非洲等地特有的大范圍盛行的、風(fēng)向有明顯季節(jié)變化的風(fēng)系。歐洲、美洲等地沒有典型的季風(fēng)現(xiàn)象。我國約2/3的國土面積處在季風(fēng)區(qū),且主要能源消費(fèi)區(qū)都處在季風(fēng)區(qū)。季風(fēng)和地形使得我國季風(fēng)區(qū)的降水、氣溫、空氣密度等呈現(xiàn)大范圍的一致性。因此我國主要能源消費(fèi)區(qū)的電力需求和季風(fēng)特性有密切的關(guān)系。季風(fēng)還引起季風(fēng)區(qū)風(fēng)電出力的大范圍一致波動。我國堅強(qiáng)智能電網(wǎng)建設(shè)必須考慮季風(fēng)的影響。因此,充分地研究季風(fēng)特性對于我國風(fēng)能資源的評估和智能電網(wǎng)的建設(shè)都十分必要。為了較好的分析季風(fēng)的特性,本文首先使用了去噪效果更好的平方根變換的方法來優(yōu)化小波去噪的結(jié)果,這樣能有效地濾除噪聲。另外通過相關(guān)系數(shù)和置信區(qū)間、散點(diǎn)圖、交叉小波、小波相干譜等檢驗(yàn)相關(guān)性的有效方法展示了同一地區(qū)不同高度、不同地區(qū)同一高度和不同地區(qū)不同高度的風(fēng)速之間存在的相關(guān)特性,這有利于風(fēng)速的預(yù)測和風(fēng)速特性的研究。本文的具體研究內(nèi)容如下:(1)探究了一種低階非線性變換——平方根變換對小波去噪的效果的提升。由于小波去噪的效果并不是如此令人滿意,通過平方根變換的方法,使得去噪的效果更加優(yōu)秀,這有利于后期的風(fēng)速特性分析。該研究屬于“機(jī)理+辨識”預(yù)測策略中的預(yù)測準(zhǔn)確率上限和可預(yù)測性研究。(2)通過相關(guān)系數(shù)和置信區(qū)間、散點(diǎn)圖、交叉小波、小波相干譜等方法探討同一地區(qū)不同高度、不同地區(qū)同一高度和不同地區(qū)不同高度的風(fēng)速序列之間的相關(guān)性,引入風(fēng)切變指數(shù)相關(guān)概念,為風(fēng)速預(yù)測打下基礎(chǔ)。(3)探討了季風(fēng)氣候的規(guī)律與我國風(fēng)力發(fā)電以及電力負(fù)荷的關(guān)系。希望通過較好地利用季風(fēng)特性,緩解用電高峰期電力負(fù)荷過高的問題,加速智能電網(wǎng)的建設(shè)。
[Abstract]:The monsoon is a wide range of unique Asia and Africa and other places in the wind, the wind has obvious seasonal variation. In Europe, America and other places without the typical monsoon phenomenon. About 2/3 of our country land area in the monsoon region, and the main energy consumption areas are in the monsoon. The monsoon and terrain makes China monsoon region precipitation, air temperature, air density is consistent with wide range. So there is a close relationship between power demand and the main energy consumption characteristics of monsoon area in China. The monsoon also caused a wide range of monsoon wind power output fluctuation in China. With the construction of strong smart grid must consider the influence of monsoon. Therefore, the full research the construction of the monsoon characteristics for China's wind energy resource assessment and smart grid is necessary. In order to analyze the characteristics of good monsoon, square root transformation method firstly use the better denoising effect to optimize the small Wave denoising results, which can effectively eliminate the noise. In addition by the correlation coefficient and the confidence interval, scatter diagram, cross wavelet, wavelet spectrum and other effective methods of coherent correlation test shows the same area in different height, the correlation characteristics between different parts of the same height and different areas of high wind speed. This is the characteristic of wind speed prediction and for research. The main research contents of this paper are as follows: (1) to explore a low order nonlinear transform of the square root of wavelet transform denoising improved. Because wavelet denoising effect is not so satisfactory, through the method of square root transformation, to make the noise effect is more outstanding, which is conducive to the latter part of the analysis of characteristics of the wind. This is the "mechanism + identification" prediction strategy in accuracy and predictability limit research. (2) by the correlation coefficient and confidence Interval, scatter diagram, cross wavelet, wavelet coherence spectrum and other methods of the same area in different height, the correlation between wind speed and the same height in different regions of different height sequences in different regions, the introduction of wind shear index concept, lay the foundation for the prediction of wind speed. (3) discussed the law and the monsoon climate China wind power and power load. Through better use of monsoon characteristics, alleviate the issue of electricity peak power load is too high, accelerate the construction of smart grid.

【學(xué)位授予單位】：天津大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TM614

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 楊正瓴;段志峰;王晶晶;王騰;宋延文;張軍;;Quadratic Radical Function Better Than Fisher z Transformation[J];Transactions of Tianjin University;2013年05期

2 王會軍;范可;;東亞季風(fēng)近幾十年來的主要變化特征[J];大氣科學(xué);2013年02期

3 蔡德福;陳金富;石東源;李慧杰;姚美齊;;風(fēng)速相關(guān)性對配電網(wǎng)運(yùn)行特性的影響[J];電網(wǎng)技術(shù);2013年01期

4 富元海;;CMIP3模式預(yù)估的21世紀(jì)東亞夏季降水年際變率變化過程[J];中國科學(xué):地球科學(xué);2012年12期

5 錢維宏;林祥;朱亞芬;;東亞夏季風(fēng)年代際進(jìn)退與中國和全球溫度變化的聯(lián)系[J];科學(xué)通報;2012年26期

6 劉海文;周天軍;朱玉祥;林一驊;;東亞夏季風(fēng)自20世紀(jì)90年代初開始恢復(fù)增強(qiáng)[J];科學(xué)通報;2012年09期

7 余貽鑫;欒文鵬;;智能電網(wǎng)的基本理念[J];天津大學(xué)學(xué)報;2011年05期

8 盧強(qiáng);戚曉耀;何光宇;;智能電網(wǎng)與智能廣域機(jī)器人[J];中國電機(jī)工程學(xué)報;2011年10期

9 余貽鑫;欒文鵬;;智能電網(wǎng)述評[J];中國電機(jī)工程學(xué)報;2009年34期

10 孫穎;丁一匯;;未來百年東亞夏季降水和季風(fēng)預(yù)測的研究[J];中國科學(xué)(D輯:地球科學(xué));2009年11期

，

本文編號：1709223