Data-driven passivity-based control design for modular DC microgrids
Data-driven passivity-based control design for modular DC microgrids
This article contains a new passivity-based control design approach for dc microgrids. The design is purely based on experimental data - bypassing the requirement of the network modeling. This approach permits the control of dc microgrids and preserve stability, despite of further interconnection of new passive loads and new passivity-based-controlled converters. This model-free approach generates control laws in a pure numerical way; bypassing the requirement of dealing with a high number of variables and equations that naturally appear in an increasingly complex dc microgrid. Experimental results are presented to corroborate the advantages of our approach.
data-driven control, DC microgrids (DCMGs), dc-dc power converters
2545-2556
Loranca-Coutino, Javier
9da8886d-b54e-45a7-871b-63ddb6eedf70
Mayo-Maldonado, Jonathan C.
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Escobar, Gerardo
9d5b1954-920f-46b6-83a3-fc61eed024f2
Maupong, Thabiso M.
72ad3e98-f5d0-4417-9b23-89f2c5d774f3
Valdez-Resendiz, Jesus E.
b3ae7403-50bb-4b32-a7bf-d2d4646a5293
Rosas-Caro, Julio C.
8814ed10-b07c-438b-8cda-ed4eddb2b45e
17 March 2021
Loranca-Coutino, Javier
9da8886d-b54e-45a7-871b-63ddb6eedf70
Mayo-Maldonado, Jonathan C.
c7321b60-3130-43f4-89f4-f12ac5b2f822
Escobar, Gerardo
9d5b1954-920f-46b6-83a3-fc61eed024f2
Maupong, Thabiso M.
72ad3e98-f5d0-4417-9b23-89f2c5d774f3
Valdez-Resendiz, Jesus E.
b3ae7403-50bb-4b32-a7bf-d2d4646a5293
Rosas-Caro, Julio C.
8814ed10-b07c-438b-8cda-ed4eddb2b45e
Loranca-Coutino, Javier, Mayo-Maldonado, Jonathan C., Escobar, Gerardo, Maupong, Thabiso M., Valdez-Resendiz, Jesus E. and Rosas-Caro, Julio C.
(2021)
Data-driven passivity-based control design for modular DC microgrids.
IEEE Transactions on Industrial Electronics, 69 (3), .
(doi:10.1109/TIE.2021.3065615).
Abstract
This article contains a new passivity-based control design approach for dc microgrids. The design is purely based on experimental data - bypassing the requirement of the network modeling. This approach permits the control of dc microgrids and preserve stability, despite of further interconnection of new passive loads and new passivity-based-controlled converters. This model-free approach generates control laws in a pure numerical way; bypassing the requirement of dealing with a high number of variables and equations that naturally appear in an increasingly complex dc microgrid. Experimental results are presented to corroborate the advantages of our approach.
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Published date: 17 March 2021
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Publisher Copyright:
© 1982-2012 IEEE.
Keywords:
data-driven control, DC microgrids (DCMGs), dc-dc power converters
Identifiers
Local EPrints ID: 503577
URI: http://eprints.soton.ac.uk/id/eprint/503577
ISSN: 0278-0046
PURE UUID: 74d05bf8-0d3b-4f65-9fb3-fa3c65a6e5e2
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Date deposited: 05 Aug 2025 16:52
Last modified: 06 Aug 2025 02:15
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Contributors
Author:
Javier Loranca-Coutino
Author:
Jonathan C. Mayo-Maldonado
Author:
Gerardo Escobar
Author:
Thabiso M. Maupong
Author:
Jesus E. Valdez-Resendiz
Author:
Julio C. Rosas-Caro
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