An Advanced EAF Model for Voltage Fluctuation Propagation Study

作者：Chang Gary W^*; Lin Shan Ju; Chen Yi Ying; Lu Heng Jiu; Chen Hong Hsin; Chang Yung Ruei

来源：IEEE Transactions on Power Delivery, 2017, 32(2): 980-988.

DOI：10.1109/TPWRD.2016.2585740

• Electric arc furnace
• neural network
• wavelet transform
• voltage fluctuation

This paper presents an improved dynamic voltage-current model of an ac electric arc furnace (EAF) for multiple operation stages and for the study of propagations of voltage fluctuations in a power network associated with the EAF in operating stages. The EAF model is developed based on wavelet-transform and neural-network-based methods by training actual measured EAF current and voltage data. The proposed EAF model is then implemented in an actual 161-kV power system for simulations. The voltage fluctuations at other buses due to the EAF in operation are then assessed. Simulation and measured results show that the improved hybrid EAF model is accurate and is suitable for voltage fluctuation assessment when the actual measurements in the power network are limited or not available while the EAF is in operation or before the similar types of EAFs are to be installed in the system.

• 出版日期2017-4