DocumentCode :
2592708
Title :
Statistic Characteristic Estimations of Harmonic And Flicker on Electric Arc Furnace Feeders
Author :
Chen, Ming-Tang ; Lu, Chen-Wen
Author_Institution :
Nat. Kaohsiung Univ. of Appl. Sci.
fYear :
2006
fDate :
11-15 June 2006
Firstpage :
1
Lastpage :
5
Abstract :
This paper proposes the estimation results of the stochastic characteristics of harmonic and flicker for an AC and a DC electric arc furnace feeders. These characteristics include stationarity, normality and correlation. Besides, the statistic probability was assessed, too. The estimation and the assessment are implemented by a PC-based virtual instrumentation system. The results show that (1) most harmonic and flicker characteristics are stationary or weakly stationary during different periods of a heat cycle for both of the AC and the DC furnace feeders, but most of their probability density functions are not normally distributed, (2) the harmonic distortion and the voltage flicker of the AC furnace exceed the currently available limits, (3) the DC furnace has less impacts on power quality than the AC furnace
Keywords :
arc furnaces; harmonic distortion; power system harmonics; AC-DC furnace feeders; electric arc furnace; flicker; harmonic estimation; probability density functions; statistic probability; stochastic characteristics; virtual instrumentation system; Circuit testing; Furnaces; Harmonic distortion; Power quality; Power system harmonics; Probability; Sampling methods; Statistics; Steel; Voltage fluctuations; Electric arc furnace; Flicker; Harmonic; power quality;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Probabilistic Methods Applied to Power Systems, 2006. PMAPS 2006. International Conference on
Conference_Location :
Stockholm
Print_ISBN :
978-91-7178-585-5
Type :
conf
DOI :
10.1109/PMAPS.2006.360347
Filename :
4202359
Link To Document :
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