Ripple-Type Control for Enhancing Resilience of Networked Physical Systems

Manish Singh, Guido Cavraro, Andrey Bernstein, Vassilis Kekatos

Research output: Contribution to conferencePaperpeer-review

2 Scopus Citations

Abstract

Distributed control agents have been advocated as an effective means for improving the resiliency of our physical infrastructures under unexpected events. Purely local control has been shown to be insufficient, centralized optimal resource allocation approaches can be slow. In this context, we put forth a hybrid low-communication saturation-driven protocol for the coordination of control agents that are distributed over a physical system and are allowed to communicate with peers over a 'hotline' communication network. According to this protocol, agents act on local readings unless their control resources have been depleted, in which case they send a beacon for assistance to peer agents. Our ripple-type scheme triggers communication locally only for the agents with saturated resources and it is proved to converge. Moreover, under a monotonicity assumption on the underlying physical law coupling control outputs to inputs, the devised control is proved to converge to a configuration satisfying safe operational constraints. The assumption is shown to hold for voltage control in electric power systems and pressure control in water distribution networks. Numerical tests corroborate the efficacy of the novel scheme.

Original languageAmerican English
Pages2031-2036
Number of pages6
DOIs
StatePublished - 25 May 2021
Event2021 American Control Conference, ACC 2021 - Virtual, New Orleans, United States
Duration: 25 May 202128 May 2021

Conference

Conference2021 American Control Conference, ACC 2021
Country/TerritoryUnited States
CityVirtual, New Orleans
Period25/05/2128/05/21

Bibliographical note

See NREL/CP-5D00-78309 for preprint

NREL Publication Number

  • NREL/CP-5D00-80739

Keywords

  • distributed control
  • Energy networks
  • event-triggered control
  • resiliency
  • voltage control

Fingerprint

Dive into the research topics of 'Ripple-Type Control for Enhancing Resilience of Networked Physical Systems'. Together they form a unique fingerprint.

Cite this