Title page for etd-0713112-175326


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URN etd-0713112-175326
Author Chieh-Min Chan
Author's Email Address okmqaz476@hotmail.com
Statistics This thesis had been viewed 5586 times. Download 3356 times.
Department Electrical Engineering
Year 2011
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title Operation Planning of Distribution Feeders with Electric Vehicle Loads
Date of Defense 2012-06-07
Page Count 104
Keyword
  • Distribution network
  • V2G
  • feeder reconfiguration
  • electric vehicle
  • smart grid
  • Abstract In the next decade, electric vehicles (EV) will be heading to the road in a fast speed. Utility company would have no control over the future EV charging points or stations, and no direct control over periods and frequency of EV charging that could cause great effects to the existing distribution network operations if not well planned. Distribution system operation and expansion planning would become more complicated
    due to the high degree of uncertainty of the EV charging demand. Markov model is used in this study to calculate the probabilities and locations of EV charging. To mitigate the loading and voltage quality problem, feeder reconfiguration is proposed. The problem is formulated as an stochastic programming program with an objective function of minimizing total switching and system loss costs, and subject to radial
    structure of the distribution network and security constraints. The problem is solved by a binary particle swarm optimization technique. Test results indicate that feeder reconfiguration can be exercised to match loading patterns of different types of feeders (residential, commercial and industrial) with various stochastic charging scenarios, and consequently, reduce the impacts of EV charging and optimize the use of the existing network.
    Advisory Committee
  • Ching-Tsai Pan - chair
  • Chih-Wen Liu - co-chair
  • Gary-Wen Chang - co-chair
  • Shr-Lin Chen - co-chair
  • Jiann-Fuh Chen - co-chair
  • Chan-Nan Lu - advisor
  • Files
  • etd-0713112-175326.pdf
  • indicate access worldwide
    Date of Submission 2012-07-13

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