A Novel Power and Signal Composite Modulation Approach to Powerline Data Communication for SRM in Distributed Power Grids

Yu, D, Li, K, Yu, Shenglong, Zhang, P, Trinh, Hieu, Oo, Amanullah and Hu, Yihua 2021, A Novel Power and Signal Composite Modulation Approach to Powerline Data Communication for SRM in Distributed Power Grids, IEEE Transactions on Power Electronics, pp. 1-11, doi: 10.1109/tpel.2021.3061469.

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Title A Novel Power and Signal Composite Modulation Approach to Powerline Data Communication for SRM in Distributed Power Grids
Author(s) Yu, D
Li, K
Yu, ShenglongORCID iD for Yu, Shenglong orcid.org/0000-0002-2983-7344
Zhang, P
Trinh, HieuORCID iD for Trinh, Hieu orcid.org/0000-0003-3438-9969
Oo, AmanullahORCID iD for Oo, Amanullah orcid.org/0000-0002-6914-2272
Hu, Yihua
Journal name IEEE Transactions on Power Electronics
Start page 1
End page 11
Total pages 11
Publisher IEEE
Place of publication Piscataway, N.J.
Publication date 2021-02-23
ISSN 0885-8993
1941-0107
Keyword(s) Switched reluctance motor
powerline communication
autoregressive power spectrum density
power and signal composite modulation
Summary Powerline communication (PLC) is one of the key technologies contributing to grid intelligentization and needs to be specially designed for individual converter-based generators and loads. In this paper, a novel power and signal composite modulation (PSCM) strategy is proposed for powerline data transmission in switched reluctance motor (SRM)-based distributed power grids (DPGs). In detail, the signal modulation is realized by tuning the turn-off angle of the SRM to produce voltage ripples on the power transmission line; whereas autoregressive power spectrum density (AR-PSD) method is innovatively utilized to demodulate useful data from the powerline. Hardware experimentation is conducted in this study, which verifies the effectiveness of the proposed PSCM method.
Notes In Press
Language eng
DOI 10.1109/tpel.2021.3061469
Indigenous content off
Field of Research 0906 Electrical and Electronic Engineering
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30148351

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