Title page for etd-0711108-173951


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URN etd-0711108-173951
Author Kuan-hung Chen
Author's Email Address No Public.
Statistics This thesis had been viewed 5362 times. Download 2539 times.
Department Electrical Engineering
Year 2007
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title Arc Furnace Voltage Flicker Prediction Based on Chaos Theory
Date of Defense 2008-06-12
Page Count 93
Keyword
  • Electric arc furnace
  • chaos
  • phase space
  • Lyapunov exponent
  • voltage flicker
  • Abstract Voltage flicker limitation of electric utilities has been discussed in the past three decades. Arc furnace is one of the most disturbing loads that cause flicker problems in the power network. If displeasing flicker levels are predictable, then corrective solution such as static var compensation or furnace controls could be developed in cooperation between the utility and the customer. In the past, the electric fluctuations in the arc furnace voltage have been proven to be chaotic in nature. This thesis proposes a phase space approach based on nonlinearity chaotic techniques to analyze and predict voltage flicker. The determination of the phase space dimension and the application of Lyapunov exponent for flicker prediction are described. Test results have shown that accurate prediction results are obtainable for short term flicker prediction based on chaos theory.
    Advisory Committee
  • Chau-Shun Chen - chair
  • Cheng-Tsung Liu - co-chair
  • Rong-Ceng Leou - co-chair
  • Chan-Nan Lu - advisor
  • Files
  • etd-0711108-173951.pdf
  • indicate in-campus access immediately and off_campus access in a year
    Date of Submission 2008-07-11

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