A unified framework for frequency control and congestion management

Changhong Zhao, Enrique Mallada, Steven Low, Janusz Bialek

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

47 Citations (Scopus)

Abstract

The existing frequency control framework in power systems is challenged by lower inertia and more volatile power injections. We propose a new framework for frequency control and congestion management. We formulate an optimization problem that rebalances power, restores the nominal frequency, restores inter-area flows and maintains line flows below their limits in a way that minimizes the control cost. The cost can be squared deviations from the reference generations, minimizing the disruption from the last optimal dispatch. Our control thus maintains system security without interfering with the market operation. By deriving a primal-dual algorithm to solve this optimization, we design a completely decentralized primary frequency control without the need for explicit communication among the participating agents, and a distributed unified control which integrates primary and secondary frequency control and congestion management. Simulations show that the unified control not only achieves all the desired control goals in system equilibrium, but also improves the transient compared to traditional control schemes.

Original languageEnglish
Title of host publication19th Power Systems Computation Conference, PSCC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9788894105124
DOIs
Publication statusPublished - 10 Aug 2016
Event19th Power Systems Computation Conference, PSCC 2016 - Genova, Italy
Duration: 20 Jun 201624 Jun 2016

Publication series

Name19th Power Systems Computation Conference, PSCC 2016

Conference

Conference19th Power Systems Computation Conference, PSCC 2016
Country/TerritoryItaly
CityGenova
Period20/06/1624/06/16

Keywords

  • Congestion management
  • distributed control
  • frequency control

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