Application of Extended Kalman Filter to the Modeling of Electric Arc Furnace for Power Quality Issues

Author

Wang, Fenghua ; Jin, Zhijian ; Zhu, Zishu ; Wang, Xusheng

Author_Institution

Dept. of Electr. Eng., Shanghai Jiao Tong Univ.

Volume

2

fYear

2005

Firstpage

991

Lastpage

996

Abstract

Electric arc furnaces (EAFs) represent one of the most disturbing loads in the subtransmission or transmission electric power systems. Therefore, it is necessary to build a practical model to described the behavior of EAF in the simulation of power system for power quality issues. This EAF operation, the seemingly random arc paper deals with the modeling of EAF based on the combination of extended Kalman filter to identify the parameter of arc current and the power balance equation to obtain the dynamic, multi-valued v - i characteristics of EAF load. The whole EAF systems are simulated by means of power system blockset in MATLAB to validate the proposed EAF model. This model can also be used to assess the impact of the new plant or highly varying nonlinear loads that exhibit chaos in power systems

Keywords

Kalman filters; arc furnaces; chaos; mathematics computing; nonlinear filters; transmission networks; MATLAB; arc current; chaos; electric arc furnace; extended Kalman filter; power balance equation; power quality issues; power system blockset; transmission electric power systems; Chaos; Furnaces; MATLAB; Mathematical model; Nonlinear dynamical systems; Nonlinear equations; Power quality; Power system dynamics; Power system modeling; Power system simulation;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks and Brain, 2005. ICNN&B '05. International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-9422-4

Type

conf

DOI

10.1109/ICNNB.2005.1614785

Filename

1614785