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A Statistical Approach of Wind Power Forecasting for Grid Scale

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A Statistical Approach of Wind Power Forecasting for Grid Scale. / Chen, Ying; Yuyu, Ding; Jie, Ding et al.
In: AASRI Procedia, Vol. 2, 2012, p. 121-126.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Chen, Y, Yuyu, D, Jie, D, Zhibao, C, Rongfu, S & Hai, Z 2012, 'A Statistical Approach of Wind Power Forecasting for Grid Scale', AASRI Procedia, vol. 2, pp. 121-126. https://doi.org/10.1016/j.aasri.2012.09.023

APA

Chen, Y., Yuyu, D., Jie, D., Zhibao, C., Rongfu, S., & Hai, Z. (2012). A Statistical Approach of Wind Power Forecasting for Grid Scale. AASRI Procedia, 2, 121-126. https://doi.org/10.1016/j.aasri.2012.09.023

Vancouver

Chen Y, Yuyu D, Jie D, Zhibao C, Rongfu S, Hai Z. A Statistical Approach of Wind Power Forecasting for Grid Scale. AASRI Procedia. 2012;2:121-126. Epub 2012 Nov 9. doi: 10.1016/j.aasri.2012.09.023

Author

Chen, Ying ; Yuyu, Ding ; Jie, Ding et al. / A Statistical Approach of Wind Power Forecasting for Grid Scale. In: AASRI Procedia. 2012 ; Vol. 2. pp. 121-126.

Bibtex

@article{4a223350e8b6429bb92753b8ad67afd1,
title = "A Statistical Approach of Wind Power Forecasting for Grid Scale",
abstract = "Grid Scale Wind Power Forecast is an effective way to increase acceptable wind power capacity and improve the Reliability and Security of power system integrated with large scale of wind power. In this paper, modelling technology for Grid scale wind power forecasting is discussed firstly. Using correlation matrix of output power and forecast accuracy coefficient, representative wind farms are selected and weight coefficient of each farm is determined. Then grid scale wind power forecast method based on the power output of representative farm is presented. And then the method is validated by the running data of a grid connected wind farm. The experiment result indicates the feasibility and effectiveness of the method presented in this paper, with RMSE as 12.91%, MAE as only 9.9%, and usable data rate reached 87.2%. The forecasting accuracy meets the application demands of projects and far ahead of the demands of industrial standard. This method is able to economize the computing resource, reduce the dependency to the data integrity of single wind farm of grid scale wind power forecast modelling, and has high practical value.",
keywords = "Wind Power Forecast",
author = "Ying Chen and Ding Yuyu and Ding Jie and Chan Zhibao and Sun Rongfu and Zhou Hai",
note = "AASRI Conference on Power and Energy Systems",
year = "2012",
doi = "10.1016/j.aasri.2012.09.023",
language = "English",
volume = "2",
pages = "121--126",
journal = "AASRI Procedia",
issn = "2212-6716",

}

RIS

TY - JOUR

T1 - A Statistical Approach of Wind Power Forecasting for Grid Scale

AU - Chen, Ying

AU - Yuyu, Ding

AU - Jie, Ding

AU - Zhibao, Chan

AU - Rongfu, Sun

AU - Hai, Zhou

N1 - AASRI Conference on Power and Energy Systems

PY - 2012

Y1 - 2012

N2 - Grid Scale Wind Power Forecast is an effective way to increase acceptable wind power capacity and improve the Reliability and Security of power system integrated with large scale of wind power. In this paper, modelling technology for Grid scale wind power forecasting is discussed firstly. Using correlation matrix of output power and forecast accuracy coefficient, representative wind farms are selected and weight coefficient of each farm is determined. Then grid scale wind power forecast method based on the power output of representative farm is presented. And then the method is validated by the running data of a grid connected wind farm. The experiment result indicates the feasibility and effectiveness of the method presented in this paper, with RMSE as 12.91%, MAE as only 9.9%, and usable data rate reached 87.2%. The forecasting accuracy meets the application demands of projects and far ahead of the demands of industrial standard. This method is able to economize the computing resource, reduce the dependency to the data integrity of single wind farm of grid scale wind power forecast modelling, and has high practical value.

AB - Grid Scale Wind Power Forecast is an effective way to increase acceptable wind power capacity and improve the Reliability and Security of power system integrated with large scale of wind power. In this paper, modelling technology for Grid scale wind power forecasting is discussed firstly. Using correlation matrix of output power and forecast accuracy coefficient, representative wind farms are selected and weight coefficient of each farm is determined. Then grid scale wind power forecast method based on the power output of representative farm is presented. And then the method is validated by the running data of a grid connected wind farm. The experiment result indicates the feasibility and effectiveness of the method presented in this paper, with RMSE as 12.91%, MAE as only 9.9%, and usable data rate reached 87.2%. The forecasting accuracy meets the application demands of projects and far ahead of the demands of industrial standard. This method is able to economize the computing resource, reduce the dependency to the data integrity of single wind farm of grid scale wind power forecast modelling, and has high practical value.

KW - Wind Power Forecast

U2 - 10.1016/j.aasri.2012.09.023

DO - 10.1016/j.aasri.2012.09.023

M3 - Journal article

VL - 2

SP - 121

EP - 126

JO - AASRI Procedia

JF - AASRI Procedia

SN - 2212-6716

ER -