烏登山風場風機上網(wǎng)電量影響因素綜合評價研究
[Abstract]:Under the environment of power grid reform, wind power generation, as a non-polluting green energy, not only optimizes the power energy structure and reduces the emission of harmful gases, but also makes a great contribution to environmental protection and plays a positive role in promoting the sustainable development of the economy. The economic benefits of the whole wind power project, therefore, it is of great practical significance to correctly analyze the factors affecting the power consumption on the grid, which plays a decisive role in the sustainable development of wind farms in low-carbon environment.
This paper analyzes the research status of the factors affecting the power consumption of wind turbines in wind farms at home and abroad, discusses the research significance of the factors affecting the power consumption of wind turbines in wind farms, introduces the basic situation of Wushan Wind Farm, and emphasizes the importance of studying the factors affecting the power consumption of wind turbines on the grid. In order to solve the key problems, the index system of influencing factors of fan on-line power consumption is constructed. Combined with the evaluation index and the data characteristics of Wushan wind farm, a comprehensive evaluation model of influencing factors of fan on-line power consumption based on fuzzy comprehensive evaluation and AHP is established, which effectively solves the problem of fan on-line power consumption. The validity of the selected method is verified by the empirical study of the wind field in Wushan area, and the practical application value of the model to the evaluation of the factors affecting the power consumption of the wind turbine in Wushan wind farm is demonstrated. It also provides a basis for other wind farms to study the influencing factors of electricity consumption.
【學位授予單位】:華北電力大學
【學位級別】:碩士
【學位授予年份】:2013
【分類號】:F426.61
【參考文獻】
相關(guān)期刊論文 前10條
1 程海花;耿建;胡俊;任遠;王首頂;;基于算法庫的省內(nèi)發(fā)電企業(yè)上網(wǎng)電量結(jié)算系統(tǒng)[J];電力系統(tǒng)自動化;2011年23期
2 吳義純,丁明;基于蒙特卡羅仿真的風力發(fā)電系統(tǒng)可靠性評價[J];電力自動化設(shè)備;2004年12期
3 夏安俊;胡書舉;許洪華;;大型風電機組自抗擾轉(zhuǎn)速控制[J];電機與控制學報;2012年09期
4 劉勇;;基于EMTP-RV電網(wǎng)電壓對稱跌落對雙饋風電機組影響分析[J];電力學報;2012年04期
5 陳蘇聲;張全成;楊濤;林鈞斌;張倚;;風力發(fā)電機組安全保護技術(shù)分析評價[J];電氣自動化;2012年01期
6 劉紅文;劉春秀;萬宇賓;杜佳佳;王靛;王立鵬;;基于FAST和Simulink的大型風電機組仿真與性能分析[J];大功率變流技術(shù);2012年05期
7 曾鳴;劉萬福;未瑞;沈又幸;;風力發(fā)電可行性評價指標體系及方法研究[J];華東電力;2008年08期
8 孫金鳳;劉清志;解忠剛;;東營市風能資源開發(fā)利用分析及對策研究[J];華東電力;2010年03期
9 張登峰;郝偉;郝旺身;董辛文;;模糊理論在風力發(fā)電設(shè)備狀態(tài)評價中的應(yīng)用[J];機械設(shè)計與制造;2011年11期
10 連可;陳世杰;周建明;龍兵;王厚軍;;基于遺傳算法的SVM多分類決策樹優(yōu)化算法研究[J];控制與決策;2009年01期
相關(guān)碩士學位論文 前2條
1 劉學東;火力發(fā)電企業(yè)安全性評價體系的建設(shè)及應(yīng)用[D];華北電力大學(北京);2006年
2 曹兆龍;基于支持向量機的多分類算法研究[D];華東師范大學;2007年
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