Enhancement of SVC performance in electric arc furnace for flicker suppression using a Gray‐ANN based prediction method
Author:
Affiliation:
1. School of Electrical and Computer EngineeringShiraz University Shiraz Iran
2. School of Electrical Engineering and Computer ScienceWashington State University Pullman WA USA
3. School of Advanced TechnologiesShiraz University Shiraz Iran
Publisher
Hindawi Limited
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology,Modeling and Simulation
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/etep.2811
Reference49 articles.
1. Maximum Performance of Electric Arc Furnace by Optimal Setting of the Series Reactor and Transformer Taps Using a Nonlinear Model
2. SamanehGolestani HaidarSamet Generalized Cassie‐Mayr electric arc furnace models IET Generation Transmission & Distribution Volume: 10 Issue: 13 3364 – 3373.
3. SamanehGolestani HaidarSamet Polynomial‐dynamic electric arc furnace model combined with ANN international transactions on electrical energy systems Accepted (In press).https://doi.org/10.1002/etep.2561
4. Fault detection in the secondary side of electric arc furnace transformer using the primary side data
5. A new approach to the modelling of electric arc furnaces with representative voltage samples
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