Emergency Voltage Regulation in Power Systems via Ripple-Type Control

Research output: Contribution to conferencePaperpeer-review

2 Scopus Citations


With increasing penetrations of volatile renewable generation and cyber-physical disruptions, ensuring the safe operation of bulk power systems has become unprecedentedly challenging. Because communication and computational costs restrict centralized system dispatch to being called upon every few minutes, and because purely local schemes are shown to be insufficient, distributed controls have been advocated for handling unanticipated system conditions in real time. The applicability of distributed control schemes, however, is fundamentally limited by their need for widespread communication and model cognizance. 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. Under this protocol, when agents observe a constraint violation based on local measurements, they respond locally until their control resources saturate, in which case they send a beacon for assistance to peer agents. The scheme ensures that minor violations are efficiently mitigated via fast local controls, whereas severe violations can be handled by collaboration among a relatively small set of agents. We evaluate the performance of this scheme via numerical tests on the IEEE 14-bus test feeder, where agents act upon noisy measurements under diverse scenarios of load variations and severe low-/high-voltage events.

Original languageAmerican English
Number of pages6
StatePublished - 22 Jun 2021
Event29th Mediterranean Conference on Control and Automation, MED 2021 - Bari, Puglia, Italy
Duration: 22 Jun 202125 Jun 2021


Conference29th Mediterranean Conference on Control and Automation, MED 2021
CityBari, Puglia

Bibliographical note

See NREL/CP-5D00-79668 for preprint

NREL Publication Number

  • NREL/CP-5D00-80933


  • collaboration
  • decentralized control
  • peer-to-peer computing
  • power system stability
  • protocols
  • real-time systems
  • stability analysis


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