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Guest Editorial Modeling and Advanced Control of Wind Turbines/Wind Farms

  • J. Hu
  • , Y. Hou
  • , Z. Zhu
  • , D. Xu
  • , D. Xu
  • , E. Muljadi
  • , F. Liu
  • , G. Iwanski
  • , H. Geng
  • , I. Erlich
  • , J. Wen
  • , L. Harnefors
  • , L. Fan
  • , M. S. El Moursi
  • , P. C. Kjaer
  • , R. J. Nelson
  • , R. Cardenas
  • , S. Feng
  • , S. Islam
  • , W. Qiao
  • X. Yuan
  • Huazhong University of Science and Technology
  • University of Hong Kong
  • Shefield University
  • Zhejiang University
  • Ryerson University
  • National Renewable Energy Laboratory
  • Tsinghua University
  • Warsaw University of Technology
  • University of Duisburg-Essen
  • Southern California Edison Company
  • ABB Corporate Research, Vasteras
  • University of South Florida, Tampa
  • Vestas Technology Research and Development
  • Siemens Energy
  • University of Chile
  • China Electric Power Research Institute
  • Curtin University
  • University of Nebraska–Lincoln

Research output: Contribution to journalReview articlepeer-review

2 Scopus citations

Abstract

The papers in this special section brings together papers focused on the recent advancements and breakthroughs in the technology of modeling and enhanced active/reactive power control of wind power conversion systems, ranging from components of wind turbines to wind farms.

Original languageBritish English
Article number8013192
Pages (from-to)1105-1107
Number of pages3
JournalIEEE Transactions on Energy Conversion
Volume32
Issue number3
DOIs
StatePublished - Sep 2017

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

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