A new course on control of wind power generation systems using analysis and simulation

Bulent Sarlioglu, Di Pan, Gilsu Choi

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

2 Scopus citations

Abstract

This paper presents a new graduate-level course that is designed, developed, and taught at the University of Wisconsin-Madison to further advance the education for wind power technologies. The objective of this course is to provide an in-depth coverage of control of electric drives for wind turbines with an emphasis using state-of-the-art modeling and simulation techniques. Various generator types and their associated controlling techniques for wind power generation are reviewed in the course. The course begins with a thorough discussion of the performance requirements for electric power generating equipment controls in wind turbine applications. Analyses and simulations of electric generators combined with their controls are incorporated into the class curriculum to provide students with a thorough understanding of the achievable generating system performance. The course capitalizes on the student's prior knowledge in drives, power electronics, and electric machines to develop highly skilled, advanced degree graduates that can readily become researchers or developers of next-generation wind power generation systems.

Original languageEnglish
Title of host publicationPEMWA 2012 - 2012 IEEE Power Electronics and Machines in Wind Applications
DOIs
StatePublished - 2012
Externally publishedYes
Event2012 IEEE Power Electronics and Machines in Wind Applications, PEMWA 2012 - Denver, CO, United States
Duration: 16 Jul 201218 Jul 2012

Publication series

NamePEMWA 2012 - 2012 IEEE Power Electronics and Machines in Wind Applications

Conference

Conference2012 IEEE Power Electronics and Machines in Wind Applications, PEMWA 2012
Country/TerritoryUnited States
CityDenver, CO
Period16/07/1218/07/12

Keywords

  • Analysis
  • Control
  • Education Activities
  • Education Course
  • Electric Generators
  • Simulation
  • Wind Energy Generation
  • Wind Power Generation

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