期刊文献+

区域风能规划中的风资源参数及等效风速序列求解方法 被引量:7

Wind Resource Parameters and Equivalent Wind Speed Sequence Solution in Regional Wind Energy Planning
原文传递
导出
摘要 在面积较广阔、建有多个风速观测站的区域风能规划中,缺乏能够描述区域等效风资源状况的风速数据以及相应的求解方法。针对区域等效风速序列及风速分布特性参数难于求解的问题,调查总结了常用风能规划模型中用于描述风速变化特性及风资源分布的重要参数,分析了参数选择对风能规划的影响,提出基于多维自回归模型的区域等效参数及区域等效风速序列求解方法,给出一种仅利用月平均风速合成风速数据的方法。以可再生电力混合优化模型为计算平台,以建有多个风速观测站的某区域为算例,参数求解方法及合成风速方法的合理性进行了验证分析。结果表明,2种方法都能够求得合理的区域等效风速数据;利用月平均风速合成风速数据的方法,能够合成具有一定可参考性的、适用于区域风能规划的风速数据。 In regional wind energy planning multiple wind speed observing stations, it is absent of that wind speed data and its solving approach, which can describe regional equivalent wind resource condition well It is important but is difficult to solve regional equivalent wind speed sequence and wind speed distribution characteristic parameters. For this, it was summarized that important wind resource parameters, which describe wind speed distribution and wind resource situation, in commonly used wind energy planning models. Then, the impact of these parameters on energy planning was analyzed. Solution approaches for these parameters were proposed based on multidimensional regression model. Besides, an approach synthesizing wind speed sequence was presented, using only the monthly average wind speed on the platform of Hybrid Optimization Model for Electric Renewables (HOMER). Validating analysis was carried out on a region owning several wind observation stations. The results show that the proposed methods achieve reasonable wind speed data; and the synthesizing wind speed method can gain wind speed sequence referenced and is applied to energy planning to some extent.
出处 《中国电机工程学报》 EI CSCD 北大核心 2013年第1期11-21,共11页 Proceedings of the CSEE
关键词 风能规划 多维自回归模型 可再生电力混合优化 模型 区域等效风速 合成风速 wind energy planning multidimensionalautoregressive model hybrid optimization model for electricrenewables (HOMER) regional equivalent wind speed resultant wind speed
  • 相关文献

参考文献25

  • 1Schrattenholzer L,Criqui P. A longer-term outlook onfuture energy systems[J]. International Journal of GlobalEnergy Issues,2000,14(1): 348-373.
  • 2杨宏伟.应用AIM/Local中国模型定量分析减排技术协同效应对气候变化政策的影响[J].能源环境保护,2004,18(2):1-4. 被引量:11
  • 3邱立勋,陈愚,赵黛青,蔡国田,陈勇,胡秀莲,姜克隽.广州市至2020年城市客运交通发展情景分析[J].中山大学学报(自然科学版),2008,47(z1):114-118. 被引量:6
  • 4中国社会科学院城市与环境研究所新能源与可再生能源经济研究中心.关于构建区域能源需求预测模型系统的初步思考[EB/OL]. http://www.nere.org. cn/nere/ShowNews.asp?News_Id= 1201. [2012-1-13].
  • 5Capros P,Mantzos L,Petrellis D,et al. European Union,energy outlook to 2020[R]. Luxembourg : EuropeanCommission- Directorate general for energy, office foroffcial publications of the European Community,1999.
  • 6Energy Information Administration(EIA). Annual energyoutlook 2003 with projections to 2025,EnergyInformation Administration[R]. Washington DC: Office ofIntegrated Analysis and Forecasting, U.S. Department ofEnergy, 2003.
  • 7RETScreen International. Empowering Cleaner EnergyDecisions[EB/OL] . http://www.retscreen.net/ang/home.php. [2012-01-12].
  • 8武亚非,包毅,杨丽徙.含双馈风电机组的配电网运行模拟[J].郑州大学学报(工学版),2011,32(4):64-67. 被引量:3
  • 9Homer Energy. Software[EB/OL]. http://homerenergy.com/ software.html. [2012-2-1].
  • 10Homer Energy. Energy modeling software for hybridrenewable energy systems[EB/OL]. http://homer energy,com/index.html. [2012-2-1 ].

二级参考文献45

共引文献64

同被引文献56

引证文献7

二级引证文献55

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部