Employing stochastic models for prediction of arc furnace reactive power to improve compensator performance

• Published in: IET generation, transmission & distribution Vol. 2; no. 4; pp. 505 - 515
• Main Authors: SAMET, H, GOLSHAN, M. E. H
• Format: Journal Article
• Language: English
• Published: Stevenage Institution of engineering and technology 2008; The Institution of Engineering & Technology
• Subjects: Applied sciences; Compensators; Disturbances. Regulation. Protection; EAF; Electric arc furnaces; Electrical engineering. Electrical power engineering; Electrical power engineering; Electronics; Exact sciences and technology; Flicker; Mathematical models; Miscellaneous; Other multijunction devices. Power transistors. Thyristors; Performance enhancement; Power electronics, power supplies; Power networks and lines; Reactive power; Semiconductor electronics. Microelectronics. Optoelectronics. Solid state devices; Stochasticity; Various equipment and components; Performance evaluation; ARMA model; Stochastic model; Power system stability; Stochastic method; Time variation; Charge compensation; Reactive power; Power thyristor; Electric oven; Arc furnace; Static VAr compensators; Series expansion; Voltage stability; Delay time; Voltage fluctuation; Mathematical model; Flexible AC transmission systems; Time series; Power spectral density; Power electronics; Conceptual analysis; Flicker; Analysis method; Comparative study
• ISSN: 1751-8687; 1751-8695
• DOI: 10.1049/iet-gtd:20070320

The time-varying nature of an electric arc furnace (EAF) gives rise to voltage fluctuations, which produce the effect known as flicker. The ability of a static VAr compensator (SVC), a widely used method for flicker reduction, is limited by delays in reactive power measurements and thyristor ignition. To improve the SVC performance in flicker compensation, a technique for the prediction of an EAF reactive power for a half cycle ahead is presented. This technique is based on a new procedure for stochastic modelling of an EAF reactive power at an SVC bus. This procedure uses huge field data, collected from eight arc furnaces, to determine the most suitable signal among several candidate signals in view of an EAF reactive power prediction. The performance of the compensator in the case of employing predicted fundamental reactive power of an EAF is compared with that of the conventional method by using three new indices that have been defined based on concepts of flicker frequencies and the power spectral density.