Distributed Automatic Load-Frequency Control with Optimality in Power Systems

Changhong Zhao, Xin Chen, Na Li

Research output: Contribution to conferencePaper

7 Scopus Citations

Abstract

With the increasing penetration of renewable energy resources, power systems face new challenges in balancing power supply and demand and maintaining the nominal frequency. This paper studies load control to handle these challenges. In particular, a fully distributed automatic load control algorithm, which only needs local measurement and local communication, is proposed. We prove that the control algorithm globally converges to an optimal operating point which minimizes the total disutility of users, restores the nominal frequency and the scheduled tie-line power flows, and respects the thermal constraints of transmission lines. It is also shown that the convergence still holds even when inaccurate system parameters are used in the control algorithm. Lastly, the effectiveness, optimality, and robustness of the proposed algorithm are demonstrated via numerical simulations.
Original languageAmerican English
Pages24-31
Number of pages8
DOIs
StatePublished - 2018
Event2018 IEEE Conference on Control Technology and Applications (CCTA) - Copenhagen, Denmark
Duration: 21 Aug 201824 Aug 2018

Conference

Conference2018 IEEE Conference on Control Technology and Applications (CCTA)
CityCopenhagen, Denmark
Period21/08/1824/08/18

Bibliographical note

See NREL/CP-5D00-71123 for preprint

NREL Publication Number

  • NREL/CP-5D00-72928

Keywords

  • distributed generation
  • frequency
  • load control
  • optimality
  • power systems

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