Gain Scheduled Adaptive Control Scheme for Damping SSOs in PMSG-Integrated Power System Under High Wind Speed Variability

Tong Wang, Mingxin Jin, Babak Jafarpisheh, Anamitra Pal, Zengping Wang

Research output: Contribution to journalArticlepeer-review

Abstract

A gain scheduled adaptive control scheme based on a polytopic linear parameter varying (LPV) system is proposed in this paper to damp sub-synchronous oscillations (SSOs) for power system integrated with permanent magnet synchronous generators (PMSGs) and operating under high wind speed variability. Firstly, the linearized state space model of the PMSG-integrated power system is established. Secondly, a polytopic LPV system is developed to account for the stochastic drift behavior and wind speed variability. Next, a gap metric-based nonlinearity measurement method is used for configuring the vertices of the polytope. The adaptive polytopic LPV controller is solved using linear matrix inequality and gain scheduling control theory, while mode identification based on a sliding window fast Fourier transform is employed for adaptively adjusting the polytopic LPV controller. Finally, the proposed polytopic LPV adaptive control scheme is compared with three other control techniques to demonstrate its effectiveness in suppressing SSOs.

Original languageEnglish (US)
Pages (from-to)953-966
Number of pages14
JournalElectric Power Components and Systems
Volume49
Issue number9-10
DOIs
StatePublished - 2021
Externally publishedYes

Keywords

  • adaptive control
  • fast Fourier transform
  • gain scheduling
  • gap metric
  • linear parameter varying
  • sub-synchronous oscillation

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Mechanical Engineering
  • Electrical and Electronic Engineering

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