Data-Driven Adaptive Damping Controller for Wind Power Plants with Doubly-Fed Induction Generators

Pranav Sharma, Marcos Netto, Venkat Krishnan, Venkataramana Ajjarapu, Umesh Vaidya

Research output: Contribution to conferencePaper


This paper presents an adaptive damping controller for wind power plants in which the turbines are equipped with doubly-fed induction generators. The controller is designed to respond to an input control signal that is triggered according to the system operating conditions. A processing unit continuously estimates the electromechanical modes of oscillation based on real-time streaming data acquired from a phasor measurement unit that is strategically positioned on the grid. The decision to trigger (or not trigger) the control signal is automatic, based on the relative damping of the dominant mode. The modes are estimated using the dynamic mode decomposition algorithm with time-delay embedding. Numerical simulations performed on the two-area system demonstrate that the proposed controller enhances the rotor angle stability for both small-signal and large disturbances, and is adaptive to changing grid conditions.
Original languageAmerican English
Number of pages5
StatePublished - 2021
Event2021 IEEE Power & Energy Society General Meeting (PESGM) - Washington, D.C.
Duration: 26 Jul 202129 Jul 2021


Conference2021 IEEE Power & Energy Society General Meeting (PESGM)
CityWashington, D.C.

Bibliographical note

See NREL/CP-5D00-78304 for preprint

NREL Publication Number

  • NREL/CP-5D00-82303


  • damping controller
  • doubly-fed induction generator
  • dynamic mode decomposition
  • Koopman operator
  • oscillations
  • real-time control


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