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Inertial response control strategy of wind turbine based on variable universe fuzzy control

  • Le Gao
  • , Guoxing Yu
  • , Lan Liu
  • , Huihui Song*
  • *Corresponding author for this work
  • School of Information Science and Engineering, Harbin Institute of Technology Weihai

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

Abstract

Wind turbines connect to the power grid through power converters, which makes the lack of effective synchronization relationship between generator speed and grid frequency. Existing strategies usually add an additional controller to utilize the hidden kinetic energy in wind turbines for frequency modulation, but this controller heavily dependents on the droop coefficient and the inertia constant. To avoid the influence of the two factors on the frequency modulation, this paper proposes an adaptive fuzzy control strategy for the inertial response of wind turbine. Its universe can be changed with frequency deviation and rate of change of frequency (ROCOF). By comparison of the synthesize inertia control and common fuzzy control, results of our adaptive fuzzy controller show the advantages of accuracy and applicability.

Original languageEnglish
Title of host publicationAdvanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration - International Conference on Life System Modeling and Simulation, LSMS 2017 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017, Proceedings
EditorsPatrick Luk, Kang Li, Zhile Yang, Yusheng Xue, Shumei Cui, Qun Niu
PublisherSpringer Verlag
Pages52-62
Number of pages11
ISBN (Print)9789811063633
DOIs
StatePublished - 2017
Externally publishedYes
EventInternational Conference on Life System Modeling and Simulation, LSMS 2017 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017 - Nanjing, China
Duration: 22 Sep 201724 Sep 2017

Publication series

NameCommunications in Computer and Information Science
Volume763
ISSN (Print)1865-0929

Conference

ConferenceInternational Conference on Life System Modeling and Simulation, LSMS 2017 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017
Country/TerritoryChina
CityNanjing
Period22/09/1724/09/17

Keywords

  • Adaptive fuzzy control
  • Inertial response
  • Synthesize inertia control
  • Wind turbine

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