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Modified virtual inertial controller for prudential participation of DFIG-based wind turbines in power system frequency regulation

Ravanji, M. H ; Sharif University of Technology | 2019

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  1. Type of Document: Article
  2. DOI: 10.1049/iet-rpg.2018.5397
  3. Publisher: Institution of Engineering and Technology , 2019
  4. Abstract:
  5. This study proposes a modified virtual inertial control (MVIC) scheme for doubly-fed induction generator (DFIG)based wind turbines (WTs), which both improves the frequency response of these renewable resources and enhances the power system oscillation damping capabilities. It is shown that the proposed control structure enables the WT to participate prudentially in system frequency regulation, which means the amount of WT kinetic energy released to the grid and its participation in system frequency support is alleviated as its stored energy decreases. The proposed control strategy is introduced conceptually, and its performance is verified analytically. Effects of wind speed variations on the small-signal stability of DFIG WTs equipped with the proposed MVIC is investigated, as well. For these purposes, the system characteristic equation and its damping ratio, as well as the transfer function between the wind speed and the wind turbine rotor speed are derived and analysed. Eventually, time-domain simulation results and modal analysis verify the performance of the proposed method and demonstrate its superiority as compared to the conventional virtual inertial controllers. © The Institution of Engineering and Technology 2018
  6. Keywords:
  7. Asynchronous generators ; Controllers ; Damping ; Electric fault currents ; Electric power system control ; Frequency response ; Kinetic energy ; Kinetics ; Modal analysis ; Time domain analysis ; Wind ; Wind turbines ; DFIG-based wind turbines ; Doubly Fed Induction generators (DFIG) ; Power system frequencies ; Power system oscillations ; Small signal stability ; System characteristics ; Time-domain simulations ; Wind speed variations ; Electric machine control
  8. Source: IET Renewable Power Generation ; Volume 13, Issue 1 , 2019 , Pages 155-164 ; 17521416 (ISSN)
  9. URL: https://ieeexplore.ieee.org/document/8611540