Preprints
https://doi.org/10.5194/wes-2022-27
https://doi.org/10.5194/wes-2022-27
 
09 May 2022
09 May 2022
Status: a revised version of this preprint was accepted for the journal WES and is expected to appear here in due course.

Demonstration of a Fault Impact Reduction Control Module for Wind Turbines

Benjamin Anderson and Edward Baring-Gould Benjamin Anderson and Edward Baring-Gould
  • National Renewable Energy Laboratory, 15013 Denver W Pkwy, Golden, CO, USA

Abstract. Traditionally, wind turbines in distribution applications make control decisions as isolated systems. They generally provide maximum power output during operation and manage internal faults with little consideration of the rest of the power system. Although fault detection and tolerance schemes are widely researched and implemented, controls to ameliorate such faults are uncommon in research and industry. The rapid shutdown of a wind turbine in a large transmission-connected wind plant will have a minimal impact on a large power system, but in a microgrid or isolated grid context the abrupt loss of a single wind turbine may cause grid instability and high stress on the system. This paper demonstrates a fault impact reduction control (FIRC) module for a wind turbine, which implements wider warning thresholds around fault thresholds. When the turbine crosses a warning threshold, the controller sends its predicted action to the grid controller, which facilitates the grid operator’s response to a potential wind turbine fault, and then takes appropriate action to ameliorate the fault. Various test cases demonstrate the controller action under a variety of faults, and various scenarios demonstrate the grid benefit of an FIRC in both microgrid and grid-connected contexts. The FIRC maximizes wind turbine generation and eases generation transition under a variety of fault scenarios. The FIRC module is easy to integrate with the existing controller, and can be easily modified to include the various warnings and thresholds that the user desires. This analysis is mainly performed in a MATLAB-Simulink-based research wind turbine model and is also implemented in the existing LabVIEW-based controller of the same research turbine at NREL.

Benjamin Anderson and Edward Baring-Gould

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on wes-2022-27', Stefan Loew, 18 Jun 2022
    • AC1: 'Reply on RC1', Benjamin Anderson, 06 Jul 2022
  • RC2: 'Comment on wes-2022-27', Peter Odgaard, 01 Jul 2022
    • AC2: 'Reply on RC2', Benjamin Anderson, 06 Jul 2022

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on wes-2022-27', Stefan Loew, 18 Jun 2022
    • AC1: 'Reply on RC1', Benjamin Anderson, 06 Jul 2022
  • RC2: 'Comment on wes-2022-27', Peter Odgaard, 01 Jul 2022
    • AC2: 'Reply on RC2', Benjamin Anderson, 06 Jul 2022

Benjamin Anderson and Edward Baring-Gould

Benjamin Anderson and Edward Baring-Gould

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Short summary
Our article proposes an easy-to-integrate wind turbine control module which mitigates wind turbine fault conditions and sends predictive information to the grid operator, all while maximizing power production. This gives the grid operator more time to react to faults with its dispatch decisions, easing the transition between different generators. This study aims to illustrate the controller’s functionality under various types of faults and highlight potential wind turbine and grid benefits.