乌登山风场风机上网电量影响因素综合评价研究
[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.
【学位授予单位】:华北电力大学
【学位级别】:硕士
【学位授予年份】:2013
【分类号】:F426.61
【参考文献】
相关期刊论文 前10条
1 程海花;耿建;胡俊;任远;王首顶;;基于算法库的省内发电企业上网电量结算系统[J];电力系统自动化;2011年23期
2 吴义纯,丁明;基于蒙特卡罗仿真的风力发电系统可靠性评价[J];电力自动化设备;2004年12期
3 夏安俊;胡书举;许洪华;;大型风电机组自抗扰转速控制[J];电机与控制学报;2012年09期
4 刘勇;;基于EMTP-RV电网电压对称跌落对双馈风电机组影响分析[J];电力学报;2012年04期
5 陈苏声;张全成;杨涛;林钧斌;张倚;;风力发电机组安全保护技术分析评价[J];电气自动化;2012年01期
6 刘红文;刘春秀;万宇宾;杜佳佳;王靛;王立鹏;;基于FAST和Simulink的大型风电机组仿真与性能分析[J];大功率变流技术;2012年05期
7 曾鸣;刘万福;未瑞;沈又幸;;风力发电可行性评价指标体系及方法研究[J];华东电力;2008年08期
8 孙金凤;刘清志;解忠刚;;东营市风能资源开发利用分析及对策研究[J];华东电力;2010年03期
9 张登峰;郝伟;郝旺身;董辛文;;模糊理论在风力发电设备状态评价中的应用[J];机械设计与制造;2011年11期
10 连可;陈世杰;周建明;龙兵;王厚军;;基于遗传算法的SVM多分类决策树优化算法研究[J];控制与决策;2009年01期
相关硕士学位论文 前2条
1 刘学东;火力发电企业安全性评价体系的建设及应用[D];华北电力大学(北京);2006年
2 曹兆龙;基于支持向量机的多分类算法研究[D];华东师范大学;2007年
本文编号:2228877
本文链接:https://www.wllwen.com/guanlilunwen/shengchanguanlilunwen/2228877.html