A novel control solution for improved trajectory tracking and LVRT performance in DFIG-based wind turbines

Abstract

This paper presents a new control strategy for the rotor side converter of Doubly-Fed Induction Generator based Wind Turbine systems, under severe voltage dips. The main goal is to fulfill the Low Voltage Ride Through performance, required by modern grid codes. In this respect, the key point is to limit oscillations (particularly on rotor currents) triggered by line faults, so that the system keeps operating with graceful behavior. To this aim, a suitable feedforward-feedback control solution is proposed for the DFIG rotor side. The feedforward part exploits oscillation-free reference trajectories, analytically derived for the system internal dynamics. State feedback, designed accounting for control voltage limits, endows the system with robustness and further tame oscillations during faults. Moreover, improved torque and stator reactive power tracking during faults is achieved, proposing an exact mapping between such quantities and rotor-side currents, which are conventionally used as controlled outputs. Numerical simulations are provided to validate the capability of the proposed approach to effectively cope with harsh faults.

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Correspondence to Ahmad Hashemi.

Additional information

Ahmad HASHEMI was born in Kermanshah, Iran, in July 1984. He received the B.Sc. and M.Sc. degrees in Electrical Engineering from K.N.Toosi University of Technology, Tehran, Iran, and Madani University, Tabriz, Iran, in 2006 and 2009, respectively. In 2014, he started his Ph.D. in Automatic Control with the Department of Electrical, Electronic and Information Engineering (DEI), University of Bologna, Italy. He was a visiting Ph.D. student with the Department of Electromagnetic Engineering, KTH Royal Institute of Technology, Sweden, in 2017. His current research interests include modeling, control and applications of the FACTS devices and renewable energy generation systems.

Andrea TILLI is Associate Professor at the Department of Electrical, Electronic and Information Engineering “Guglielmo Marconi” (DEI) of the University of Bologna. In 2000, he received the Ph.D. degree in System Science and Engineering from the same university. He is member of the Center for Research on Complex Automated Systems “Giuseppe Evangelisti” (CASY), established within DEI. His current research interests include applied nonlinear control techniques, active power filters, wind turbines, electric drives for motion control and energy generation, thermal control of manycore systems-on-chip and supercomputers.

Christian CONFICONI received the M.Sc. degree in Electronic Engineering, from the University of Bologna, Italy in 2008. In 2013 he received the Ph.D. degree in Automatic Control, from the same institution. Currently he is a post doctoral researcher at the Department of Electrical, Electronic and Information Engineering (DEI), University of Bologna. His research interests include applied nonlinear control solutions for power electronic and electromechanical systems oriented to power quality enhancement, adaptive observers for electric drives sensorless operation, modeling and energyoriented optimal thermal management of advanced computing platforms.

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Hashemi, A., Conficoni, C. & Tilli, A. A novel control solution for improved trajectory tracking and LVRT performance in DFIG-based wind turbines. Control Theory Technol. 18, 43–55 (2020). https://doi.org/10.1007/s11768-020-8038-4

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Keywords

  • Doubly-fed induction generator (DFIG)
  • wind turbine (WT)
  • feedforward-feedback control
  • mapping solution
  • low voltage ride through (LVRT)