Title page for etd-0715116-172555


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URN etd-0715116-172555
Author Hwei-Ming Chung
Author's Email Address No Public.
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Department Communications Engineering
Year 2015
Semester 2
Degree Master
Type of Document
Language English
Title Study on Charging Scheduling of Electric Vehicles with Load Forecast Information in Smart Grid
Date of Defense 2016-07-18
Page Count 66
Keyword
  • Electric vehicles
  • online algorithm
  • Pareto-optimal
  • scheduling
  • smart grid
  • Abstract This thesis studies the charge scheduling problem of electric vehicles (EVs) in
    the scale of a microgrid (e.g., a university or town), where a set of charging stations
    are controlled with a central aggregator. A bi-objective optimization problem is
    formulated to jointly optimize total charging cost and user convenience. A close-tooptimal
    online scheduling algorithm is then proposed as a solution. The algorithm
    achieves optimal charging cost and is near optimal in terms of user convenience. The
    proposed method also applies an efficient load forecasting technique to obtain future
    load information. The algorithm is assessed through simulation and compared with
    those in previous studies. Results reveal that our method improves previous alternative
    methods in terms of the Pareto-optimal solution of the bi-objective optimization
    problem, and provides a close approximation for load forecasting.
    Advisory Committee
  • Shang-Ho Tsai - chair
  • Tsang-Yi Wang - co-chair
  • Wan-Jen Huang - co-chair
  • Chao-Kai Wen - advisor
  • Files
  • etd-0715116-172555.pdf
  • Indicate in-campus at 5 year and off-campus access at 5 year.
    Date of Submission 2016-08-15

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