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Resilient distributed energy management for systems of interconnected microgrids

Author
Ananduta, W.; Maestre, J.; Ocampo-Martinez, C.A.; Ishii, H.
Type of activity
Presentation of work at congresses
Name of edition
57th IEEE Conference on Decision and Control
Date of publication
2018
Presentation's date
2018
Book of congress proceedings
2018 IEEE Conference on Decision and Control (CDC)
First page
3159
Last page
3164
Publisher
IEEE Press
DOI
https://doi.org/10.1109/CDC.2018.8619548 Open in new window
Project funding
Innovative controls for renewable sources Integration into smart energy systems
Repository
http://hdl.handle.net/2117/129393 Open in new window
URL
https://ieeexplore.ieee.org/document/8619548 Open in new window
Abstract
In this paper, distributed energy management of interconnected microgrids, which is stated as a dynamic economic dispatch problem, is studied. Since the distributed approach requires cooperation of all local controllers, when some of them do not comply with the distributed algorithm that is applied to the system, the performance of the system might be compromised. Specifically, it is considered that adversarial agents (microgrids) might implement control inputs that are different than the ones o...
Citation
Ananduta, W. [et al.]. Resilient distributed energy management for systems of interconnected microgrids. A: IEEE Conference on Decision and Control. "2018 IEEE Conference on Decision and Control (CDC)". IEEE Press, 2018, p. 3159-3164.
Keywords
Economic dispatch, distributed MPC, distributed optimization resilient algorithm, power generation control, predictive control
Group of research
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Advanced Control Systems

Participants