DocumentCode :
1993496
Title :
Harmonic current forecasting method for hybrid active power filter based on optimal linear prediction theory
Author :
Li, Shengqing ; Luo, Xiaodong ; Li, Yongan ; Zeng, Lilin ; He, Zhengping
Author_Institution :
Dept. of Electr. & Inf. Eng., Hunan Univ. of Lechnology, Zhuzhou, China
fYear :
2011
fDate :
16-18 Sept. 2011
Firstpage :
4806
Lastpage :
4809
Abstract :
It is considered as an effective method to improve the effects of hybrid active power filter on harmonic current prediction. Harmonic current forecasting method for hybrid active power filter based on forward linear prediction theory was proposed in this paper. The optimal forecasting coefficient canonical equation, minimum forecasting errors and rank update equation were deduced. Take example for low order filter, the forecasting coefficient and minimum forecasting errors of one three order filter were given. This method could predict next time harmonic current, to realize minimum errors compensation by adaptive forecasting control. The simulation results show that the method has high forecasting precision and good compensation effect.
Keywords :
active filters; adaptive control; power harmonic filters; prediction theory; adaptive forecasting control; harmonic current forecasting method; harmonic current prediction; hybrid active power filter; minimum error compensation; minimum forecasting error; next time harmonic current prediction; one-three order filter; optimal forecasting coefficient canonical equation; optimal forward linear prediction theory; rank update equation; Active filters; Adaptive filters; Forecasting; Harmonic analysis; Mathematical model; Power harmonic filters; harmonic current; hybrid active power filter; optimal linear prediction theory; prediction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Control Engineering (ICECE), 2011 International Conference on
Conference_Location :
Yichang
Print_ISBN :
978-1-4244-8162-0
Type :
conf
DOI :
10.1109/ICECENG.2011.6058003
Filename :
6058003
Link To Document :
بازگشت