Title :
Investigation into an artificial neural network based on-line current controller for an HVDC transmission link
Author :
Narendra, K.G. ; Sood, V.K. ; Khorasani, K. ; Patel, R.V.
Author_Institution :
Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, Que., Canada
fDate :
11/1/1997 12:00:00 AM
Abstract :
An artificial neural network (ANN) based current controller for a HVDC transmission link is described in this paper. Different ANN architectures and activation functions (AFs) are investigated for this ANN controller. Small (set current change) and large (DC-line fault) signal perturbations are applied to optimize the learning parameters for the controller. Performance evaluation of the ANN controller under noise conditions is studied. A comparison between a traditional PI and the proposed ANN controller is made for various system contingencies and it is shown that the latter has many attractive features
Keywords :
HVDC power transmission; control system synthesis; electric current control; learning (artificial intelligence); neurocontrollers; power system control; transfer functions; two-term control; ANN architectures; ANN controller; DC-line fault; HVDC transmission link; PI controller; activation functions; artificial neural network; large signal perturbations; learning parameters optimisation; on-line current controller; set current change; small signal perturbations; Artificial neural networks; Computer architecture; Control systems; Demand forecasting; Fault diagnosis; Fault tolerance; HVDC transmission; Neurons; State estimation; System identification;
Journal_Title :
Power Systems, IEEE Transactions on
