当前位置:主页 > 管理论文 > 生产管理论文 >

乌登山风场风机上网电量影响因素综合评价研究

发布时间:2018-09-07 17:04
【摘要】:在电网改革的大环境下,作为无污染绿色能源的风力发电,不仅优化了电力能源结构,减少了有害气体的排放量,同时对环境保护做出了巨大的贡献,对经济的可持续性发展也起到积极的促进作用。在风电场中,风机上网电量直接影响着整个风电项目的经济效益,因此正确分析上网电量的影响因素,有着重要现实意义的意义,对低碳环境下风电场的可持续发展起到决定性作用。 本文分析了国内外风电场风机上网电量影响因素研究现状,探讨风电场风机上网电量影响因素的研究意义,并介绍乌登山风场的基本情况,重点阐述研究风机上网电量影响因素的重要性。根据低碳经济背景下,风机上网电量影响因素研究中存在的关键性问题,构建了风机上网电量影响因素指标体系,结合评价指标及乌登山二期风场的数据特点,,建立了基于模糊综合评价和层次分析法的乌登山风场风机上网电量影响因素综合评价模型,有效地解决了风机上网电量影响因素评价中的指标和权重的科学性问题。通过对乌登山地区风场的实证研究,验证了所选方法的有效性,表明了该模型对乌登山风场风机上网电量影响因素评价问题的实际应用价值。为有效解决风机上网电量不足问题提供了理论基础,也为其它风电场在研究上网电量影响因素问题上提供了依据。
[Abstract]:In the environment of grid reform, wind power generation, as a non-polluting green energy, not only optimizes the structure of power energy, reduces the emission of harmful gases, but also makes a great contribution to environmental protection. It also plays a positive role in promoting the sustainable development of the economy. In the wind farm, the power of the fan directly affects the economic benefit of the whole wind power project, so it is of great practical significance to correctly analyze the influencing factors of the electricity quantity. It plays a decisive role in the sustainable development of wind farm in low carbon environment. In this paper, the current situation of the research on the factors influencing the wind farm fan's access to electricity at home and abroad is analyzed, and the significance of the research on the factors affecting the wind power of the wind farm fan is discussed. The importance of studying the influence factors of fan power on internet is emphasized. According to the key problems existing in the research on the influencing factors of fan's electricity quantity on the Internet under the low carbon economy background, this paper constructs the index system of the influencing factors of fan's electricity quantity, and combines the evaluation index with the data characteristics of the second stage wind field in Wushan Mountain. Based on the fuzzy comprehensive evaluation and the analytic hierarchy process (AHP), a comprehensive evaluation model of the influencing factors of the wind field fan's access to electricity is established, which effectively solves the scientific problem of the indexes and weights in the evaluation of the factors affecting the fan's electricity quantity. The effectiveness of the proposed method is verified by an empirical study of wind field in the mountainous area of Ukraine, and the practical application value of the model to the evaluation of the factors affecting the wind power of the fan in the wind field is demonstrated. It provides a theoretical basis for effectively solving the problem of fan's lack of electricity on the Internet, and also provides a basis for other wind farms to study the influence factors of the electricity quantity on the Internet.
【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:2228876

资料下载
论文发表

本文链接:https://www.wllwen.com/guanlilunwen/shengchanguanlilunwen/2228876.html


Copyright(c)文论论文网All Rights Reserved | 网站地图 |

版权申明:资料由用户55b67***提供,本站仅收录摘要或目录,作者需要删除请E-mail邮箱bigeng88@qq.com