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Arc Furnace Voltage Flicker Prediction Based on Chaos Theory

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.

Identiferoai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0711108-173951
Date11 July 2008
CreatorsChen, Kuan-hung
ContributorsChau-Shun Chen, Chan-Nan Lu, Rong-Ceng Leou, Cheng-Tsung Liu
PublisherNSYSU
Source SetsNSYSU Electronic Thesis and Dissertation Archive
LanguageCholon
Detected LanguageEnglish
Typetext
Formatapplication/pdf
Sourcehttp://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0711108-173951
Rightsoff_campus_withheld, Copyright information available at source archive

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