Title page for etd-0513114-154508


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URN etd-0513114-154508
Author Hsuan-Chih Chang
Author's Email Address andy10105@hotmail.com
Statistics This thesis had been viewed 5348 times. Download 680 times.
Department Electrical Engineering
Year 2013
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title Application of Model Predictive Control for Electrical Vehicle Charging Station Operation Planning
Date of Defense 2014-06-05
Page Count 86
Keyword
  • dynamic programming
  • EV charging station
  • energy storage system (ESS)
  • Distribute energy resource (DER)
  • model predictive control
  • Abstract Due to environmental awareness, more and more distributed energy and storage systems are developed and included in the charging station design. In order to meet the charging demands and reduce operation costs, several issues, such as time of use tariff, energy dispatch and charging demand forecast; need to be addressed. Integrating distributed energy resources through DC microgrid would help reduce loss and improved energy efficiency. In this thesis, the power dispatch of energy storage system in an eco-synergy charging station that integrates intermittent solar power output and energy storage system is investigated. A model predictive control scheme in conjunction with a dynamic programming procedure is used to minimize the charging station operation cost. Effects of battery capacities and charging station locations on the operation costs are analyzed.
    Advisory Committee
  • Jen-Hao Teng - chair
  • Chao-Kai Wen - co-chair
  • Chan-Nan Lu - advisor
  • Files
  • etd-0513114-154508.pdf
  • Indicate in-campus at 2 year and off-campus access at 2 year.
    Date of Submission 2014-06-13

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