电力系统自动化Issue(3)：140-151,12.DOI:10.7500/AEPS20150511004
风电场风能资源评估的测量-关联-预测方法综述
Overview of Wind Resource Measure-Correlate-Predict Methods for Wind Farms
摘要
Abstract
One of the primary goals of wind resource assessment is to obtaining long-term wind resource potential at the hub height of wind turbines.The measure-correlate-predict(MCP)method is an important mathematical method for estimating the long-term wind speed and direction where the long-term measuring data is not available. Firstly, the basic principle, assumptions and procedure of MCP method are introduced.The data required in the MCP process are summarized in detail. Then,the influences of the data grouping,parameter selection,wind shear,and time resolution on the prediction process are analyzed.Moreover,the basic logic and common transformations of several typical MCP methods are classified and described. The advantages and disadvantages and the applicability of different MCP methods are analyzed and evaluated.The weight distribution way in the multiple reference station combination forecast is discussed.Finally,future developments and further investigations of MCP methods are discussed.关键词
风能资源评估/测量-关联-预测/长期风速预测/关联模型Key words
wind resource assessment/measure-correlate-predict(MCP)/long-term wind speed prediction/correlation model引用本文复制引用
叶林,杨丹萍,赵永宁..风电场风能资源评估的测量-关联-预测方法综述[J].电力系统自动化,2016,(3):140-151,12.基金项目
国家自然科学基金资助项目(51174290,51477174) （51174290,51477174）
高等学校博士学科点专项科研基金(博导类)资助项目(20110008110042)。This work is supported by National Natural Science Foundation of China(No.51174290,No.51477174) and Specialized Research Fund for the Doctoral Program of Higher Education(SRFDP) of China(No.20110008110042) （博导类）
