电力系统自动化Issue(14)：126-135,10.DOI:10.7500/AEPS20130911004
基于空间相关性的风电功率预测研究综述
A Review on Wind Power Prediction Based on Spatial Correlation Approach
摘要
Abstract
Large-scale integration of wind power into grid has significant impact on system operation and stability due to the inherent intermittency of wind power.Consequently,accurate prediction of regional wind farm output has become one of the vital challenges for the power industry.However,most of the existing prediction methods only involve mathematical models and rarely consider spatial correlation factors.As such,the prediction system remains to be further improved.Wind power prediction based on spatial correlation is a comprehensive prediction method that combines both local information and spatially correlated information.This paper introduces the definition,concepts and basic characteristics of the wind power prediction based on spatial correlation.Specific aspects such as statistical model,physical model,down-scaling and up-scaling procedure in terms of wind power prediction based on spatial correlation are also explained in detail.The state-of-the-art of spatial correlation approaches and techniques used in wind power prediction around the world are systematically reviewed and summarized.Finally,the future development trend and further investigations are presented for the existing problems and shortcomings in this field. This work is supported by National Natural Science Foundation of China(No.5 1077126,No.5 1 1 74290).关键词
空间相关性/风速/风电功率/功率波动/功率预测Key words
spatial correlation/wind speed/wind power/power fluctuation/power prediction引用本文复制引用
叶林,赵永宁..基于空间相关性的风电功率预测研究综述[J].电力系统自动化,2014,(14):126-135,10.基金项目
国家自然科学基金资助项目(51077126,51174290)。 （51077126,51174290）
