| URN |
etd-0513114-154508 |
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| Author |
Hsuan-Chih Chang |
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| Author's Email Address |
andy10105@hotmail.com |
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| Statistics |
This thesis had been viewed 5569 times. Download 984 times. |
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| Department |
Electrical Engineering |
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| Year |
2013 |
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| Semester |
2 |
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| Degree |
Master |
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| Type of Document |
|
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| Language |
zh-TW.Big5 Chinese |
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| Title |
Application of Model Predictive Control for Electrical Vehicle Charging Station Operation Planning |
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| Date of Defense |
2014-06-05 |
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| Page Count |
86 |
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| Keyword |
dynamic programming
EV charging station
energy storage system (ESS)
Distribute energy resource (DER)
model predictive control
|
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| 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. |
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| Advisory Committee |
Jen-Hao Teng - chair
Chao-Kai Wen - co-chair
Chan-Nan Lu - advisor
|
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| Files |
Indicate in-campus at 2 year and off-campus access at 2 year. |
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| Date of Submission |
2014-06-13 |
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