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Neural-network based vector control of VSCHVDC transmission systems

Li, S and Fu, X and Alonso, E and Fairbank, M and Wunsch, DC (2015) Neural-network based vector control of VSCHVDC transmission systems. In: UNSPECIFIED, ? - ?.

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Abstract

© 2015 IEEE. The application of high-voltage dc (HVDC) using voltage-source converters (VSC) has surged recently in electric power transmission and distribution systems. An optimal vector control of a VSC-HVDC system which uses an artificial neural network to implement an approximate dynamic programming algorithm and is trained with Levenberg-Marquardt is introduced in this paper. The proposed neural network vector control algorithm is analyzed in comparison with standard vector control methods for various HVDC control requirements, including dc voltage, active and reactive power control, and ac system voltage support. Assessment of the resulting closed-loop control shows that the neural network vector control approach has superior performance and works efficiently within and beyond the constraints of the HVDC system, for instance, converter rated power and saturation of PWM modulation.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: 2015 International Conference on Renewable Energy Research and Applications, ICRERA 2015
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Jim Jamieson
Date Deposited: 12 Dec 2016 21:46
Last Modified: 30 Jan 2019 16:23
URI: http://repository.essex.ac.uk/id/eprint/18485

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