RT Conference Proceedings
T1 Estimation methods and sensor reduction in modular multilevel converters: 												A review
A1 Konstantinou, Georgios
A1 Wickramasinghe, Harith R.
A1 Townsend, Christopher D.
A1 Ceballos, Salvador
A1 Pou, Josep
AB The circuit configuration of the modular multilevel converter (MMC) requires a large number of current and voltage measurements as well as communications within the converter arms and between the arm controllers and the main control circuit. In order to reduce circuit complexity and hardware requirements with their associated cost, while adding an additional level of reliability to the operation of the MMC, a number of methods have been proposed for the estimation / observation of the various internal electrical variables or parameters of the MMC. These include estimations for sub-module capacitor voltages, dc-link voltages, arm currents or total arm energy. Such methods aim to eliminate or reduce the sensors in the circuit, reduce communication requirements or both. This paper provides an overview and classification of the different estimation/observation methods for MMCs currently proposed in the literature.
PB Institute of Electrical and Electronics Engineers Inc.
SN 9781538660287
YR 2018
FD 2018-07-02
LK https://hdl.handle.net/11556/2552
UL https://hdl.handle.net/11556/2552
LA eng
NO Konstantinou , G , Wickramasinghe , H R , Townsend , C D , Ceballos , S & Pou , J 2018 , Estimation methods and sensor reduction in modular multilevel converters : A review . in 2018 8th International Conference on Power and Energy Systems, ICPES 2018 . , 8626987 , 2018 8th International Conference on Power and Energy Systems, ICPES 2018 , Institute of Electrical and Electronics Engineers Inc. , pp. 23-28 , 8th International Conference on Power and Energy Systems, ICPES 2018 , Colombo , Sri Lanka , 21/12/18 . https://doi.org/10.1109/ICPESYS.2018.8626987
NO conference
NO Publisher Copyright: © 2018 IEEE.
NO ACKNOWLEDGMENT This research was supported under Australian Research Council’s Discovery Early Career Research Award (DECRA - DE170100370).
DS TECNALIA Publications
RD 28 jul 2024