Evaluation of Different Inertial Control Methods for Variable-Speed Wind Turbines Simulated by Fatigue, Aerodynamic, Structures and Turbulence (FAST)

Andrew Scholbrock, Eduard Muljadi, Vahan Gevorgian, Xiao Wang, Wenzhong Gao, Jianhui Wang, Weihang Yan, Huaguang Zhang

Research output: Contribution to journalArticlepeer-review

22 Scopus Citations

Abstract

To mitigate the degraded power system inertia and undesirable primary frequency response caused by large-scale wind power integration, the frequency support capabilities of variable-speed wind turbines is studied in this work. This is made possible by controlled inertial response, which is demonstrated on a research turbine - controls advanced research turbine, 3- bladed (CART3). Two distinct inertial control (IC) methods are analysed in terms of their impacts on the grids and the response of the turbine itself. The released kinetic energy in the IC methods are determined by the frequency measurement or shaped active power reference in the turbine speed-power plane. The wind turbine model is based on the high-fidelity turbine simulator fatigue, aerodynamic, structures and turbulence, which constitutes the aggregated wind power plant model with the simplified power converter model. The IC methods are implemented over the baseline CART3 controller, evaluated in the modified 9-bus and 14-bus testing power grids considering different wind speeds and different wind power penetration levels. The simulation results provide various insights on designing such kinds of ICs. The authors calculate the short-term dynamic equivalent loads and give a discussion about the turbine structural loadings related to the inertial response.

Original languageAmerican English
Pages (from-to)1534-1544
Number of pages11
JournalIET Renewable Power Generation
Volume11
Issue number12
DOIs
StatePublished - 18 Oct 2017

Bibliographical note

Publisher Copyright:
© The Institution of Engineering and Technology 2017.

NREL Publication Number

  • NREL/JA-5000-70588

Keywords

  • angular velocity control
  • power convertors
  • power generation control
  • wind turbines

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