Title :
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.
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;
Conference_Titel :
Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9422-4
DOI :
10.1109/ICNNB.2005.1614785
