Publication

Robust Decentralized Secondary Frequency Control in Power Systems: Merits and Tradeoffs

Weitenberg, E., Jiang, Y., Zhao, C., Mallada, E., De Persis, C. & Dorfler, F., Oct-2019, In : IEEE Transactions on Automatic Control. 64, 10, p. 3967-3982 16 p.

Research output: Contribution to journalArticleAcademicpeer-review

Copy link to clipboard

Documents

  • Robust Decentralized Secondary Frequency Control in Power Systems: Merits and Tradeoffs

    Final publisher's version, 1 MB, PDF document

    Request copy

DOI

  • Erik Weitenberg
  • Yan Jiang
  • Changhong Zhao
  • Enrique Mallada
  • Claudio De Persis
  • Florian Dorfler

Frequency restoration in power systems is conventionally performed by broadcasting a centralized signal to local controllers. As a result of energy transition, technological advances, and scientific interest in distributed control and optimization methods, a plethora of distributed frequency control strategies have been proposed recently, which rely on communication amongst local controllers. In this paper, we propose a fully decentralized leaky integral controller for frequency restoration, which is derived from a classic lag element. We study steady-state, asymptotic optimality, nominal stability, input-to-state stability, noise rejection, transient performance, and robustness properties of this controller in closed loop with a nonlinear and multivariable power system model. We demonstrate that the leaky integral controller can strike an acceptable tradeoff between performance and robustness as well as between asymptotic disturbance rejection and transient convergence rate by tuning its dc gain and time constant. We compare our findings to conventional decentralized integral control and distributed-averaging-based integral control in theory and simulations.

Original languageEnglish
Pages (from-to)3967-3982
Number of pages16
JournalIEEE Transactions on Automatic Control
Volume64
Issue number10
Publication statusPublished - Oct-2019

    Keywords

  • Decentralized control, power generation control, power system stability, DISTRIBUTED CONTROL, ECONOMIC-DISPATCH, OPTIMIZATION, MICROGRIDS

ID: 109024921