Intelligent Control System for Static Var Compensator of Arc Furnace

Abstract

The article discusses the synthesis of a fuzzy controller for the SVC control system installed in the power supply system of an electric steel-arc furnace. Studies were conducted in the MatLab environment on a simulation model of the power supply system, in which the connection of an arc furnace through two step-down transformers is considered. In this case, the model of an arc furnace according to the equivalent circuit is implemented with variable active-inductive resistance. The static var compensator model consists of four capacitive filters and a thyristor-reactor group (thyristor-controlled reactors). Comparing the results of modeling control systems with a fuzzy controller and an adaptive PI controller showed that the fuzzy controller copes better with maintaining a given voltage level and reactive power compensation. In a system with a fuzzy regulator, a smaller voltage deviation from the setpoint is observed, the transient process is shorter and the voltage more accurately reaches the specified level. In addition, the article considers the possibility of correcting one of the input variables in order to take into account the switching of the operating modes of the arc furnace.