摘要
目前风电场风速概率分布模型选择偏少、通用性较差、拟合精度难以满足风电场的规划设计需求。为此,提出一种风速概率分布云变换模型,详细阐述风速分布云变换模型的求取步骤;并在风速概率分布边界处采用半云模型拟合处理,通过概念跃升,对相近的云模型进行概念跃升,从而减少了云变换模型中云模型的个数。算例分析表明:适当的概念跃升能减少云模型个数,云变换模型拟合精度高,能满足风电场的规划设计需求。
Currently , wind speed probability distribution model is with less model types, poor applicability and low precision, and it is difficult to satisfy the requirements of wind power plant operation ,planning and design. A wind speed probability distribution modeling method and its building steps was proposed in this paper. The method considered that the fitting precision of normal cloud model at the probability distribution border was low, and a semicloud model was used. The number of cloud models can be decreased through concept jumping for similar cloud model. Cases analysis results show that the appropriate concept of jumping can reduce the number of cloud model, the cloud transformation model is simplified and has higher fitting precision to satisfy the requirements of wind power plant.
出处
《电力科学与技术学报》
CAS
北大核心
2016年第3期35-41,共7页
Journal of Electric Power Science And Technology
基金
国家自然科学基金(51277015)
关键词
风电场
风速模型
云变换模型
半云模型
wind power plant
wind speed model
cloud transformation model
semicloud model
