Modeling and parameter estimation of arc furnace model based on energy conservation

CHI Wei1， ZHANG Kai-lun2， ZHA Lei1， CHEN Hong-wei2
（1. Zhejiang Electric Power Test and Research Institute， Hangzhou 310014， China；
2. College of Electrical Engineering， Zhejiang University， Hangzhou 310027， China）

Abstract：  In order to study the harmonics of EAF to grid，Aiming at the electric arc-furnace （EAF） model based on energy conservation，particle swarm optimization （PSO） was used to estimate the parameters of this model，and good fitting results were obtained of arc voltage. On this basis，a Matlab/Simulink model was established and simulated，and by comparing the result of harmonic content with the measured data，the rationality of this model was proved. The results indicate that this method of modeling can accurately reflect the harmonics of EAF to grid，also the method of parameter prediction are proved capable of finding the reasonable fitness，and thus to reproduce and predict the load characteristics of EAF.
Key words： electric arc-furnace（EAF） ； load modeling； parameter estimation； particle swarm optimization（PSO）