电测与仪表2018，Vol.55Issue(3)：13-19,7.
基于Copula理论的风电功率缺失数据补齐方法研究
Study on wind power data completion method based on Copula theory
摘要
Abstract
The integrity of wind power data is of great significance for the accurate prediction of wind power and the utilization of wind energy.Based on the correlation analysis of the output power of the wind farm,this paper proposes a joint probability distribution model of the output power in different wind turbines by using Copula theory.By using the measured wind power data,the probability distribution of wind power output is estimated through thenon-parametric and density estimation method.Kendall rank correlation coefficient is used as the correlation measurement.The correlation between different wind turbines is used to complete missing data.Simulation experiments illustrate the accuracy and average relative error of completed data obtains good effect,and the quality of the completed data is improved effectively.关键词
风电功率/Copula理论/相关性分析/数据补齐Key words
wind power/Copula theory/correlation analysis/data completion分类
信息技术与安全科学引用本文复制引用
杨茂,马剑..基于Copula理论的风电功率缺失数据补齐方法研究[J].电测与仪表,2018,55(3):13-19,7.基金项目
国家重点基础研究发展计划项目(973计划)(2013CB228201) （973计划）
国家自然科学基金项目(51307017) （51307017）
吉林省产业技术与专项开发项目(2014Y124) （2014Y124）
