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Intelligent current controller for an HVDC transmission link

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4 Author(s)
Narendra, K.G. ; Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, Que., Canada ; Khorasani, K. ; Sood, V.K. ; Patel, R.V.

This paper describes an intelligent current controller for the fast and flexible control of an HVDC transmission link using artificial neural network (ANN) and fuzzy logic (FL) paradigms. A simple yet effective ANN architecture is presented with online adaptation of the activation function and learning parameters. Two methods of adapting the learning parameters are presented. In the first method, a heuristic approach to evaluate the learning rate as a polynomial of an energy function is considered. In the second method, a FL based online adaptation of the learning parameters is discussed. Performance of ANN, ANN-FL based and PI controllers are compared. A feasibility analysis is carried out to implement the proposed neural controller algorithm in real-time

Published in:

Power Industry Computer Applications., 1997. 20th International Conference on

Date of Conference:

11-16 May 1997