Publication
Resilient information-exchange protocol for distributed model predictive control schemes
Conference Article
Conference
American Control Conference (ACC)
Edition
2018
Pages
1286-1291
Doc link
https://doi.org/10.23919/ACC.2018.8430923
File
Authors
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Ananduta, Wicak
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Barreiro Gomez, Julian
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Ocampo Martínez, Carlos A.
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Quijano Silva, Nicanor
Projects associated
Abstract
Distributed Model Predictive Control (DMPC) strategies require local controllers to share information among each other. Considering the importance of communication in such control strategies and the failures that may occur in the information-sharing network, this paper proposes to apply the distributed consensus algorithm as an information-exchange protocol for DMPC controllers. The advantage of the proposed protocol is twofold. First, it relaxes some communication assumptions usually made for DMPC controllers. Second, under some assumptions, it provides resilience against some communication failures such that the performance and the features of the implemented distributed controller are preserved. A case study of a microgrid system is provided as an example in which some simulations are carried out to illustrate the aforementioned advantages.
Categories
optimisation, power system control, predictive control.
Author keywords
Distributed Model Predictive Control (DMPC), distributed consensus algorithm, communication failures
Scientific reference
W. Ananduta, J. Barreiro, C. Ocampo-Martínez and N. Quijano. Resilient information-exchange protocol for distributed model predictive control schemes, 2018 American Control Conference, 2018, Milwaukee, USA, pp. 1286-1291.
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