Article, 2024

Nonlinear hybrid flatness control for suppressing overcurrent of DFIG during high voltage ride through

Electric Power Systems Research, ISSN 0378-7796, Volume 229, 10.1016/j.epsr.2024.110190

Contributors

Cai Z. (Corresponding author) [1] Li C. 0000-0001-9116-7487 [2] Wu Q. 0000-0001-7935-2567 [3] Tai N. [2] Huang W. [2] Huang S. 0000-0003-1179-6959 [1] Wei J. [1]

Affiliations

  1. [1] Hunan University
  2. [NORA names: China; Asia, East];
  3. [2] Shanghai Jiao Tong University
  4. [NORA names: China; Asia, East];
  5. [3] Technical University of Denmark
  6. [NORA names: DTU Technical University of Denmark; University; Denmark; Europe, EU; Nordic; OECD]

Abstract

With the rapid development of the wind power penetration, the suppression of wind turbine overcurrent becomes a significant challenge for high-voltage ride-through. A nonlinear hybrid flatness control (NHFC) strategy is proposed to reduce overcurrent, shorten overcurrent duration time and provide reactive power support. The control strategy consists of the following three parts: 1) a differentiate flatness control (DFC) strategy is designed for improving the duration time of the overcurrent. 2) a time-based virtual resistance control (TBVRC) strategy, where the resistance is varied with the fault voltage occurrence time, is employed to regulate and suppress the stator and rotor overcurrent. 3) a coefficient backpropagation droop control (CBDC) strategy, obtained by optimum droop coefficient calculation, is developed to provide outstanding reactive power injection for voltage support. Simulation results indicate that the proposed control strategy can effectively suppress overcurrent with less duration time while providing effective reactive power support.

Keywords

Coefficient backpropagation droop control (CBDC), Differentiate flatness control (DFC), Doubly fed induction generator (DFIG), High voltage ride-through (HVRT), Time-based virtual resistance control (TBVRC)

Funders

  • International Science and Technology Cooperation Projects of China

Data Provider: Elsevier