DocumentCode
2039169
Title
Modeling highly nonlinear load dynamics for harmonic assessment
Author
Chang, G.W.
Author_Institution
Dept. of Electr. Eng., Nat. Chung Cheng Univ., Chiayi, Taiwan
fYear
2012
fDate
22-26 July 2012
Firstpage
1
Lastpage
4
Abstract
In this paper, an advanced method based on measured data and neural network for highly nonlinear loads such as electric arc furnaces (EAFs) is introduced. An industrial power system with the EAF load is used for field measurements. Modeling results obtained by the proposed method are then compared with the measured data. It shows that the presented method can model the highly nonlinear load dynamics with a good accuracy.
Keywords
industrial power systems; neural nets; power system harmonics; power system simulation; EAF load; electric arc furnaces; field measurements; harmonic assessment; highly nonlinear load dynamic modelling; industrial power system; neural network; Current measurement; Furnaces; Harmonic analysis; Load modeling; Mathematical model; Power system harmonics; Voltage measurement; Electric arc furnace; harmonics; neural network;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Society General Meeting, 2012 IEEE
Conference_Location
San Diego, CA
ISSN
1944-9925
Print_ISBN
978-1-4673-2727-5
Electronic_ISBN
1944-9925
Type
conf
DOI
10.1109/PESGM.2012.6344563
Filename
6344563
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