A neuro-fuzzy VDCL unit to enhance the performance of an HVDC system

Abstract

A neuro-fuzzy (NF) voltage dependent current-reference limiter (VDCL) unit to enhance the performance of an HVDC system is proposed in this paper. This unit utilizes a new method of combining a radial basis function neural network (RBFNN) output with a fuzzy inference mechanism to produce an adaptive current reference for the HVDC controller. Results from simulations show that this adaptive current reference improves the performance of the HVDC system under dynamic operating conditions.