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Dissertation_FeiWu.pdf (1.39 MB)
ETD Abstract Container
Abstract Header
Electric Vehicle Charging Network Design and Control Strategies
Author Info
Wu, Fei
ORCID® Identifier
http://orcid.org/0000-0003-0698-6598
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=osu1479900508609434
Abstract Details
Year and Degree
2016, Doctor of Philosophy, Ohio State University, Industrial and Systems Engineering.
Abstract
Electric vehicles hold great promise in improving transportation energy consumption efficiency. However, battery-related "range-anxiety" hampers large-scale EV adoption. To relieve range anxiety and accelerate wider EV adoption, two issues should be addressed. The first is how to develop and optimize the layout of a network of public EV charging stations to keep pace with increasing EV charging demand. Second, the strains of added EV charging loads on the electricity distribution infrastructure should be managed. This dissertation will address these two issues through new optimization models and simulations. Specifically, we formulate a stochastic flow-capturing charging station location model to solve the first issue and obtain an optimal charging station network layout. For the second issue, stochastic control models are created to schedule EV charging loads. This model assumes some flexibility to defer EV charging demands, to minimize distribution infrastructure investment and degradation costs. We expand this model to allow the charging station to participate ancillary service markets, either by modulating EV charging or by using distributed resources. The outcome of this dissertation will help EV infrastructure planners develop an adequate charging station network and facilitate wider EV adoption. It will also help system operators and energy planners better understand the challenges of vehicle-grid integration and prepare appropriate strategies to address these issues.
Committee
Ramteen Sioshansi (Advisor)
Guzin Bayraksan (Committee Member)
Lixin Ye (Committee Member)
Pages
169 p.
Subject Headings
Energy
;
Operations Research
Keywords
Electric Vehicle, Charging Station, Stochastic Flow-Capturing Location Model, Station Control, Energy Storage, Ancillary Service, Stochastic Programming, Sample-Average Approximation, Monte-Carlo Simulation
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Citations
Wu, F. (2016).
Electric Vehicle Charging Network Design and Control Strategies
[Doctoral dissertation, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1479900508609434
APA Style (7th edition)
Wu, Fei.
Electric Vehicle Charging Network Design and Control Strategies.
2016. Ohio State University, Doctoral dissertation.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=osu1479900508609434.
MLA Style (8th edition)
Wu, Fei. "Electric Vehicle Charging Network Design and Control Strategies." Doctoral dissertation, Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1479900508609434
Chicago Manual of Style (17th edition)
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Document number:
osu1479900508609434
Download Count:
1,293
Copyright Info
© 2016, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.