Title :
A neuro-fuzzy VDCL unit to enhance the performance of an HVDC system
Author :
Narendra, K.G. ; Sood, V.K. ; Patel, R. ; Khorasani, K.
Author_Institution :
Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, Que., Canada
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
Keywords :
HVDC power transmission; current limiters; electric current control; feedforward neural nets; fuzzy control; neurocontrollers; power system control; HVDC controller; HVDC system; adaptive current reference; dynamic operating conditions; fuzzy inference mechanism; neuro-fuzzy VDCL unit; radial basis function neural network; voltage dependent current-reference limiter; Adaptive control; Control systems; Engines; Fuzzy control; Fuzzy systems; HVDC transmission; Inference mechanisms; Programmable control; Senior members; Voltage;
Conference_Titel :
Electrical and Computer Engineering, 1995. Canadian Conference on
Conference_Location :
Montreal, Que.
Print_ISBN :
0-7803-2766-7
DOI :
10.1109/CCECE.1995.528169
