Stability enhancement of DFIG wind turbine using LQR pitch control over rated wind speed

Kazi Shariful Islam, Weixiang Shen, Apel Mahmud, Md Ayaz Chowdhury, Jingxin Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Citations (Scopus)

Abstract

A novel pitch control design method is proposed for the doubly fed induction generator (DFIG) wind turbine (WT) using linear quadratic regulator (LQR). A seven-order model represents the DFIG WT which is linearized by truncated Taylor series expansion. A systematic approach is adopted to determine the weighting matrices in LQR design for the optimal solution. Simulations have been carried out to compare the performance of the proposed LQR pitch control method against a PI pitch control for small and large disturbances. It is shown that the proposed control method enhances low-voltage ride-through capability and improves system damping under large disturbances.

Original languageEnglish
Title of host publicationProceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1714-1719
Number of pages6
ISBN (Electronic)9781509026050
DOIs
Publication statusPublished - 7 Jul 2016
Externally publishedYes
Event11th IEEE Conference on Industrial Electronics and Applications, ICIEA 2016 - Hefei, China
Duration: 5 Jun 20167 Jun 2016

Publication series

NameProceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016

Conference

Conference11th IEEE Conference on Industrial Electronics and Applications, ICIEA 2016
Country/TerritoryChina
CityHefei
Period5/06/167/06/16

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