Estimation of wind turbines dynamic model parameters using published manufacturer product data

A. B. Attya, T. Hartkopf

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

3 Citations (Scopus)

Abstract

Future wind energy high penetration levels in power systems require robust and practical control algorithms to protect the typical conventional system performance or even improve it. Constructing such feasible control methodologies requires practical, simplified and efficient dynamic simulators for several wind turbines types available in market. This paper offers a procedure to build a simulation tool for modern wind turbines. This simulation box is inspired from the GE 1.5 MW model built in the Simulink library. Three wind turbines types from the top and latest products of three different wind turbines industry tycoons are considered as case studies for the proposed methodology. MATLAB and Simulink are used as simulation environments for the presented experiments.
Original languageEnglish
Title of host publication2012 IEEE International Energy Conference and Exhibition (ENERGYCON)
Place of PublicationPiscataway, NJ.
PublisherIEEE
Pages184-188
Number of pages5
ISBN (Print)9781467314534
DOIs
Publication statusPublished - 2012
Event2012 IEEE International Energy Conference and Exhibition, ENERGYCON 2012 - Florence, Italy
Duration: 9 Sep 201212 Sep 2012

Conference

Conference2012 IEEE International Energy Conference and Exhibition, ENERGYCON 2012
CountryItaly
CityFlorence
Period9/09/1212/09/12

Keywords

  • wind power plants
  • wind turbines
  • dynamic modeling
  • pitch angle
  • wind speed variations
  • mathematical model
  • power system dynamics
  • power system stability
  • velocity control
  • wind energy

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  • Cite this

    Attya, A. B., & Hartkopf, T. (2012). Estimation of wind turbines dynamic model parameters using published manufacturer product data. In 2012 IEEE International Energy Conference and Exhibition (ENERGYCON) (pp. 184-188). [6347748] Piscataway, NJ.: IEEE. https://doi.org/10.1109/EnergyCon.2012.6347748