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风电场微观选址软件的应用 被引量:2

Application of Wind Farm Micro-Siting Software
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摘要 本文介绍了本研究小组开发的风电场微观选址软件及其在日本大槌地区风电场设计中的应用。文中介绍了本软件中采用的数值方法,包括复杂地形上大气流动的数值计算,以及本研究小组开发的用于快速计算风力机尾流效应的虚拟粒子模型和优化风力机布局的仿生方法。计算结果表明,该方法能够在复杂地形上生成优化的风力机布局,有效地降低风力机之间的相互影响,所得到的日本大槌的风电场布局方案能够有效地满足当地住宅区的能耗需求。 In this paper,the micro-siting software of wind farm developed by our group and its application in the wind farm design in Otsuchi,Japan are introduced.The algorithms in the software are described,including numerical calculation of airflow over complex terrain,and the fast turbine wake flow model and turbine layout optimization approach developed by our group.The results indicate that the present method can generate optimized turbine layout on complex terrain,reducing interaction between the turbines.The obtained wind farm design satisfies the energy demand of the local residents.
出处 《工程热物理学报》 EI CAS CSCD 北大核心 2013年第7期1299-1302,共4页 Journal of Engineering Thermophysics
基金 国家863项目(No.2007AA05Z426) 国家国际科技合作专项项目(No.2011DFG13020)
关键词 风力发电 微观选址 尾流模型 wind power micro-siting wake flow model
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参考文献7

  • 1宋梦譞,陈凯,张兴,王峻.基于CFD的风电场微观选址软件的开发[J].工程热物理学报,2011,32(6):989-992. 被引量:8
  • 2Box G E P,Muller M E.A note on the generation of random normal deviates[].Annals of Mathematics.1958
  • 3J. M. L. M. Palma,F. A. Castro,L. F. Ribeiro,A. H. Rodrigues,A. P. Pinto.Linear and nonlinear models in wind resource assessment and wind turbine micro-siting in complex terrain[].Journal of Wind Engineering and Industrial Aerodynamics.2008
  • 4Song M X,Chen K,He Z Y,et al.Wake Flow Model of Wind Turbine Using Particle Simulation[].Renewable Energy.2012
  • 5World Wind Energy Association.World Market Recovers and Sets a New Record 42 GW of New Capacity in 2011 Total at 239 GW. http://www.wwindea.org/home/index.php?option=com_ content&task=view&id=345&Itemid=2 . 2012
  • 6N O Jensen.A Note on Wind Generator Interaction[]..1983
  • 7M X Song,K Chen,Z Y He,et al.Bionic Optimization for Micro-Siting of Wind Farm on Complex Terrain[].Renewable Energy.2013

二级参考文献8

  • 1S A Grady, M Y Hussaini, M M Abdullah. Placement of Wind Turbines Using Genetic Algorithms [J]. Renewable Energy, 2005, 30.259-270.
  • 2N O Jensen. A Note on Wind Generator Interaction [R]. Rise National Laboratory, DK-4000 Roskilde, Denmark, 1983.
  • 3Wan C Q, Wang J, Yang G, et al. Optimal Micro-Siting of Wind Turbines by Genetic Algorithms Based on Im- proved Wind and Turbine Models [C]//48th IEEE Con- ference on Decision and Control and 28th Chinese Control Conference. Shanghai. China, 2009.5092 5096.
  • 4Wan C Q, Wang J, Yang G, et al. Optimal siting of Wind Turbines Using Real-Coded Genetic Algorithms [C]// Proceedings of European Wind Energy Association Conference and Exhibition. Marseille, France, 2009.
  • 5Xia Z Z, Cheng X G, Li Z X, et al. Bionic Optimization of Heat Transport Paths for Heat Conduction Problems [J]. Journal of Enhanced Heat Transfer, 2004, 11(4). 307-313.
  • 6刘青,风电场地形数据预处理及三维地形重建[D],清华大学自动化系,2009.
  • 7王晓杰.风电场噪声预测及其软件开发[D].清华大学自动化系,2009.
  • 8程新广,李志信,过增元.基于仿生优化的高效导热通道的构造[J].中国科学(E辑),2003,33(3):251-256. 被引量:25

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