Prediction of Short-Term Wind Power in Wind Power Plant based on BP-ANN

被引：0

作者：

Zhang, Gang ^{[1
]}

Zhang, Lei ^{[1
]}

Xie, Tuo ^{[1
]}

机构：

[1] Xian Univ Technol, Institute Water Resources & Hydroelect Engn, Xian 710048, Shaanxi, Peoples R China

来源：

PROCEEDINGS OF 2016 IEEE ADVANCED INFORMATION MANAGEMENT, COMMUNICATES, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IMCEC 2016) | 2016年

基金：

中国国家自然科学基金;

关键词：

Wind Farm; Wind Speed; Forecast; BP-ANN;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

According to the wind speed prediction appeared in data acquisition difficulties, so as to the poor forecast accuracy, this paper proposed the history data of near BP-ANN wind short-term forecast model, with emphasis on BP model of input layer and hidden layer parameters are estimated. In the certain scope, enumerated input layer and hidden layer parameters, and use a large number of data simulation, at the same time, SSE and MAE two index to evaluate the simulation results, obtained the suitable for wind speed forecasting multiple different parameters BP model. At the same time more than the BP model to forecast, found that the forecast accuracy is higher, show that different parameters of BP model are can be used to forecast and BP model could get same effect with different parameters.

引用

页码：75 / 79

页数：5