Grey predictor for wind energy conversion systems output power prediction

被引：113

作者：

El-Fouly, T. H. M. ^{[1
]}

El-Saadany, E. F. ^{[1
]}

Salama, M. M. A. ^{[1
]}

机构：

[1] Univ Waterloo, Dept Elect & Comp Engn, Waterloo, ON N2L 3G1, Canada

来源：

IEEE TRANSACTIONS ON POWER SYSTEMS | 2006年 / 21卷 / 03期

关键词：

grey theory; power prediction; variable-speed wind turbines; wind energy; TIME-SERIES; SPEED;

D O I：

10.1109/TPWRS.2006.879246

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Wind energy is considered one of the most rapidly growing sources of electricity generation all over the world. This letter presents a novel technique for wind speed forecasting and wind power prediction based on using the Grey predictor model GM(1,1). The effectiveness of the proposed predictor is revealed using simulation results.

引用

页码：1450 / 1452

页数：3

共 6 条

[1]

CHANG BR, 2002, P IEEE INT C SYST MA, V6, P5

[2]

CHEN MY, 1990, P 1 INT S UNC MOD AN, P469

[3] USE OF TIME-SERIES ANALYSIS TO MODEL AND FORECAST WIND-SPEED [J].

HUANG, Z ;

CHALABI, ZS .

JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS, 1995, 56 (2-3) :311-322

[4] Time series models to simulate and forecast hourly averaged wind speed in Quetta, Pakistan [J].

Kamal, L ;

Jafri, YZ .

SOLAR ENERGY, 1997, 61 (01) :23-32

[5]

Luo R. C., 1999, P IEEE INT C ROB AUT, V2, P1176

[6] A comparison of various forecasting techniques applied to mean hourly wind speed time series [J].

Sfetsos, A .

RENEWABLE ENERGY, 2000, 21 (01) :23-35

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