Forecasting Flicker Severity by Grey Predictor

被引：22

作者：

Chang, G. W. ^{[1
]}

Lu, H. J. ^{[1
]}

机构：

[1] Natl Chung Cheng Univ, Dept Elect Engn, Chiayi 621, Taiwan

来源：

IEEE TRANSACTIONS ON POWER DELIVERY | 2012年 / 27卷 / 04期

关键词：

Electric arc furnace; flicker; forecast; grey theory;

D O I：

10.1109/TPWRD.2012.2208577

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：

Rapid voltage fluctuations in an electric power network may produce significant levels of flickers, which have negative impacts on human eyes and power system components. This paper proposes a grey predictor model for the forecast of the flicker severity level associated with operating a large electric arc furnace load. Actual measured flicker index data are adopted to implement the predictor model. Test results based on the proposed model are compared with another neural-network-based method. It shows that a more accurate forecast is achieved by using the proposed grey predictor model.

引用

页码：2428 / 2430

页数：3