A Review of Wind Power Forecasting Models
Rapid growth in wind power, as well as increase on wind generation, requires serious research in various fields.Because wind power is weather dependent, it is variable and intermittent over various time-scales.Thus accurate forecasting of wind power is recognized as a major contribution for reliable large-scale wind power integration.Wind power forecasting methods can be used to plan unit commitment, scheduling and dispatch by system operators, and maximize profit by electricity traders.In addition, a number of wind power models have been developed internationally, such as WPMS, WPPT, Prediktor, ARMINES, Previento, WPES Verl.O etc. This paper provides a review on comparative analysis on the foremost forecasting models, associated with wind speed and power, based on physical methods, statistical methods, hybrid methods over different time-scales.Furthermore, this paper gives emphasis on the accuracy of these models and the source of major errors, thus problems and challenges associated with wind power prediction are presented.
wind power forecasting models for wind prediction physical approaches statistical approaches
Xiaoehen Wang Peng Guo Xiaobin Huang
School of Control Science and Engineering,North China Electric Power University,Beijing,China,and al School of Control Science and Engineering,North China Electric Power University,Beijing,China
国际会议
成都
英文
481-486
2011-09-27（万方平台首次上网日期，不代表论文的发表时间）