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Design of a damping controller for a SMES unit to suppress tie-line active-power fluctuations of a large-scale wind farm

  • Li Wang
  • , Shiang Shong Chen
  • , Wei Jen Lee
  • , Zhe Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper designs a damping controller for a superconducting magnetic energy-storage (SMES) unit to simultaneously achieve stability improvement and suppress tieline active-power variations of a large-scale wind farm (WF) subject to wind-speed fluctuations. A complete system model based on a synchronously rotating reference frame for the studied WF combined with the SMES unit is properly derived and established. The proposed control scheme of the SMES unit is by means of adjusting phase angle of a bi-directional power converter using tie-line active-power deviation as a feedback signal. The performance of the studied WF combined with the SMES unit joined with the designed PID damping controller is demonstrated using calculated operating conditions, eigenvalue analysis, and time-domain nonlinear-model simulations. It can be concluded from the simulation results that the proposed PID SMES damping controller can effectively suppress tie-line activepower fluctuations and render proper damping characteristics to enhance stability of the studied WF under various wind-speed disturbances.

Original languageEnglish
Title of host publication2009 IEEE/PES Power Systems Conference and Exposition, PSCE 2009
DOIs
Publication statusPublished - 2009
Event2009 IEEE/PES Power Systems Conference and Exposition, PSCE 2009 - Seattle, WA, United States
Duration: 2009 Mar 152009 Mar 18

Publication series

Name2009 IEEE/PES Power Systems Conference and Exposition, PSCE 2009

Other

Other2009 IEEE/PES Power Systems Conference and Exposition, PSCE 2009
Country/TerritoryUnited States
CitySeattle, WA
Period09-03-1509-03-18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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