Wind Power Prediction Based on Grey Theory and Simulation Study

Zhong Hua Cai; Ting Ting An; Hong Tu Zhang

doi:10.4028/www.scientific.net/AMM.448-453.1835

Paper Titles

Control Strategy of Full Power Converter for Wind Turbine under Grid Voltage Swell
p.1815

Analysis on Power Output Capability and its Power Control Strategy of DFIG Wind Turbine under Unbalanced Grid Voltage
p.1819

Short-Term Wind Power Forecasting Based on Least-Square Support Vector Machine (LSSVM)
p.1825

Efficiency Evaluation of Investment about China's Wind Farms Based on DEA Model
p.1829

Wind Power Prediction Based on Grey Theory and Simulation Study
p.1835

Evaluation of the Technical Potential of Wind Heating in Facilitating Wind Power Integration in China
p.1840

Based on Scene Classification Method of Wind-PV Output Coupling Mechanism
p.1845

Short-Term Wind Power Prediction and Error Analysis
p.1851

Performance Analysis of Coastal Wind Farms in Jiangsu, China
p.1858

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 448-453Wind Power Prediction Based on Grey Theory and...

Wind Power Prediction Based on Grey Theory and Simulation Study

Abstract:

Due to the significant instability, anti-peak-regulation and intermittency of wind power, wind power integration needs an accurate prediction technique to be a basis. At present, the difficulty of wind power integration has resulted in a large number of wind curtailment phenomena and wasted a lot of renewable energy. Grey prediction model has many advantages such as requiring little historical data and the simple model, with high prediction accuracy and convenient calculation, and without regard to regularities of distribution, etc. This paper puts forward the method for short-term wind power prediction using gray model GM (1, 1) and carries out simulation study and empirical analysis using the data from a wind farm of Jilin province, which shows the science and operability of the proposed model. It provides a new research method for the wind power prediction.

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Periodical:

Applied Mechanics and Materials (Volumes 448-453)

Pages:

1835-1839

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.448-453.1835

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Online since:

October 2013

Authors:

Zhong Hua Cai, Ting Ting An, Hong Tu Zhang*

Keywords:

GM(1,1), Gray Theory, Simulation Study, Wind Power Prediction

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* - Corresponding Author

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