Study on application of the forecasting system for wind farm power

Author

Mingli, Zhang ; Xu, Huang ; Jianyuan, Xu ; Yun, Teng

Author_Institution

Dept. of Electr. Power Syst., Northeast China Electr. Power Res. Inst., Shenyang, China

Volume

1

fYear

2010

Abstract

With the large-scale wind farm in the Grid, the stability of power system is becoming the hot issue. But the forecasting methods and development of the system is not enough perfect. So the paper is proposed the architecture of the Forecasting System for Wind Farm Power, and expounded the function of every module in the system. It is designed the class diagram of the Forecasting System for Wind Farm Power and the the forecasting methods based on BP. In the end, the application of the system is based on JAVA. The result is showed that the forecasting model based on JAVA technology is feasibility and effectiveness.

Keywords

Java; backpropagation; neural nets; power engineering computing; power generation planning; power grids; power system stability; wind power plants; Java technology; backpropagation neural network; forecasting method; forecasting system; power system stability; wind farm power; Artificial neural networks; Forecasting; Predictive models; Wind farms; Wind forecasting; Wind power generation; ANNs; JADE platform; multi-agent system; power forecast;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Systems (ICSPS), 2010 2nd International Conference on

Conference_Location

Dalian

Print_ISBN

978-1-4244-6892-8

Electronic_ISBN

978-1-4244-6893-5

Type

conf

DOI

10.1109/ICSPS.2010.5555567

Filename

5555567