Assistant Professor Manuela Panoiu
Electrical Engineering and Industrial Informatics Department
Engineering Faculty of Hunedoara
Polytechnic University of Timisoara
Romania
E-mail: manuela.panoiu@fih.upt.ro

Abstract: The numbers of the industrial nonlinear distorting loads that pollute the electric power supply network from electromagnetic viewpoint has increased and increase permanently. Their connection to the electric network produces significant current distortions and, taking into account that their total power is not negligible against the supply network’s power, are producing also voltage distortions, which decrease the electric power’s quality. In this paper we propose an adaptive control method of the electrical installation of an Electric arc furnace. Based on the experimental results will be proposed an adaptive control system of the process. The algorithm used is known as the LMS algorithm (Least Mean Square) or the stochastic gradient’s algorithm, being, due to its simplicity, the most used algorithm implemented in the current systems. It was used standard and variable step size LMS algorithm. The efficiency of the proposed algorithms is verified using simulations based on modeling the electric arc. For modelling the electric arc the authors are using a model which parameters like of a real electric arc. For simulation it was use the PSCAD-EMTDC program (Power Systems CAD - a program dedicated to power systems).

Brief Biography of the Speaker:
Manuela Panoiu was born in 1965, graduate the Computer Science Faculty, Polytechnic University of Timisoara in 1989. She receives his PhD degree in Electrical Engineering in 2001 and is currently Assistant Professor at the Electrical Engineering and Industrial Informatics Department of Engineering Faculty of Hunedoara, Polytechnic University of Timisoara, Romania. His research interests focus on advanced computer programming, modelling and simulating systems, and artificial intelligence.
She has until now published over 80 research papers in Journals and conferences and participate to 8 research projects.