Review of wind power forecasting methods and new trends

被引：0

作者：

Han Z. ^{[1
]}

Jing Q. ^{[2
]}

Zhang Y. ^{[2
]}

Bai R. ^{[2
]}

Guo K. ^{[3
]}

Zhang Y. ^{[2
]}

机构：

[1] State Grid Gansu Electric Power Company, Lanzhou

[2] State Grid Gansu Electric Power Research Institute, Lanzhou

[3] Xidian University, Xi'an

来源：

Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2019年 / 47卷 / 24期

关键词：

Forecasting; Ramp forecasting; Spatial correlation forecasting; Uncertainty forecasting; Wind power;

D O I：

10.19783/j.cnki.pspc.190128

中图分类号：

学科分类号：

摘要：

As a mature and large-scale form of new energy power generation, wind power has been widely used and developed in countries all over the world. Wind power has the characteristics of uncertainty, and it must be accurately predicted to ensure the normal operation of the power system after grid connection. This paper reviews the traditional methods and new research trends of wind power forecasting. Firstly, the physical methods, time series methods, artificial intelligence methods and combined methods are summarized. Then, the research progress of several important development directions of wind power forecasting: spatial correlation forecasting, cluster forecasting, uncertainty forecasting and ramp forecasting are highlighted. After reviewing the existing wind power forecasting methods, the research direction in this field is further prospected. © 2019, Power System Protection and Control Press. All right reserved.

引用

页码：178 / 187

页数：9

共 74 条

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