中国电机工程学报2017，Vol.37Issue(3)：712-719,8.DOI:10.13334/j.0258-8013.pcsee.161012
基于波动互相关系数的风能资源评估组合模型
A Combined Wind Resource Assessment Model Based on Fluctuation Cross-Correlation Coefficient
摘要
Abstract
Traditional methods of measure-correlate-predict (MCP) for wind resource assessment of wind farms are insufficient to predict the long-term wind resource of the target site, due to the limitation of involving only one dataset from reference station. To fully make use of information contained in the datasets from multiple reference stations, fluctuation cross-correlation coefficient was introduced in this paper to measure the correlation of wind speed fluctuation trends between target site and reference site. A combined MCP model for wind resource assessment of wind farms based on fluctuation cross-correlation coefficient was then proposed by determining the weights of multiple reference stations according to the fluctuation cross-correlation coefficient. Ratio variation method was selected as MCP methods in the case study, and the long-term wind speed distribution was predicted by combination model. Then the wind power density distribution and annual wind power density at the target wind farm were assessed. Results indicate that fluctuation cross-correlation coefficient in comparison with linear correlation coefficient can effectively characterize the correlation between the reference site and target site, based on the combined MCP method which can improve the accuracy of the wind resource assessment.关键词
风能资源评估/测量–关联–预测/波动互相关系数/风电场/组合模型Key words
wind resource assessment/measure-correlate- predict (MCP)/fluctuation cross-correlation coefficient/wind farm/combined model分类
信息技术与安全科学引用本文复制引用
叶林,饶日晟,杨丹萍,靳晶新,张亚丽..基于波动互相关系数的风能资源评估组合模型[J].中国电机工程学报,2017,37(3):712-719,8.基金项目
国家自然科学基金项目(51677188,51174290). Project Supported by The National Natural Science Foundation of China (51677188, 51174290). （51677188,51174290）
