Doctoral Dissertations
Keywords and Phrases
Energy management and control; energy storage system; ev charging infrastructure planning; extreme fast charging; transportation electrification; utility demand charges
Abstract
"The widespread adoption of electric vehicles (EVs) and transportation electrification is encumbered by two chief barriers: i) the limited driving range of EVs in the market today and ii) inadequate fast-charging infrastructure for long-distance trips. Extreme fast charging (XFC) technology can recharge EVs in less than 10 minutes for 200 miles range. Firstly, a novel robust optimization-based mixed integer linear programming model is proposed to size a battery energy storage system (BESS) and PV system in an XFCS. In this part, it is assumed that the sizing and location of the XFCS are known. Secondly, the aforesaid assumption is relaxed, and a strategic multi-period coordinated planning model is proposed to optimally site and size BESS-assisted charging stations in a highway transportation network and PV systems in a power distribution network by considering the coupling between both networks.
Optimal operation and control of BESS-assisted EV charging stations are vital to alleviate the adverse impact of extreme fast charging of EVs on the host power network. A joint solution is proposed to mitigate the steady state and transient impact of extreme fast charging of EVs and ensure grid-friendly integration of XFCSs with the host grid. Lastly, to make the operation of the XFCS cost-effective, a multi-layered energy management framework is proposed for the XFCS by considering forecast uncertainties, monthly demand charges reduction, and BESS degradation"-- Abstract, p. iii
Advisor(s)
Bo, Rui
Committee Member(s)
Kimball, Jonathan W.
Shamsi, Pourya
Ferdowsi, Mehdi
Park, Jonghyun
Department(s)
Electrical and Computer Engineering
Degree Name
Ph. D. in Electrical Engineering
Publisher
Missouri University of Science and Technology
Publication Date
Spring 2024
Pagination
xv, 199 pages
Note about bibliography
Includes_bibliographical_references_(pages 180-198)
Rights
© 2023 Waqas Ur Rehman, All rights reserved
Document Type
Dissertation - Open Access
File Type
text
Language
English
Thesis Number
T 12346
Electronic OCLC #
1427256746
Recommended Citation
Rehman, Waqas ur, "Control and Optimization of Energy Storage System in Power Distribution System" (2024). Doctoral Dissertations. 3297.
https://scholarsmine.mst.edu/doctoral_dissertations/3297