Robust partial feedback linearizing excitation controller design for multimachine power systems

M. A. Mahmud, M. J. Hossain, H. R. Pota, Amanullah M.T. Oo

Research output: Contribution to journalArticlepeer-review

31 Citations (Scopus)

Abstract

This paper presents a new robust nonlinear excitation controller design for synchronous generators in multimachine power systems to enhance the transient stability. The mismatches between the original power system model and formulated mathematical model are considered as uncertainties, which are modeled through the satisfaction of matching conditions. The exogenous noises appearing from measurements are incorporated with the power system model including the two-axis model of synchronous generators. The partial feedback linearization technique is used to design the controller which transforms the original nonlinear multimachine power system model into several reduced-order linear and autonomous subsystems. The desired control law is obtained for each subsystem and implemented in a decentralized manner provided that the dynamics of the autonomous subsystems have no effects on the overall stability of the system. The analysis related to the dynamics of noisy autonomous subsystems is also included and the proposed controller has the excellent capability to decouple these noises. Finally, the performance of the proposed control scheme is evaluated on an IEEE 39-bus benchmark power system following different types of large disturbances. The performance of the proposed controller is compared to that of a partial feedback linearizing controller, which is designed without robustness properties, to verify the effectiveness of the proposed control scheme.

Original languageEnglish
Article number7454770
Pages (from-to)3-16
Number of pages14
JournalIEEE Transactions on Power Systems
Volume32
Issue number1
DOIs
Publication statusPublished - 1 Jan 2017
Externally publishedYes

Keywords

  • excitation controller
  • multimachine power systems
  • measurement noise decoupling
  • partial feedback linearization
  • transient stability
  • uncertainty modeling

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