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Eav Fleet Management in Transportation and Power Systems.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Eav Fleet Management in Transportation and Power Systems./
Author:	Zhao, Dongfang.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
Description:	103 p.
Notes:	Source: Dissertations Abstracts International, Volume: 82-11, Section: B.
Contained By:	Dissertations Abstracts International82-11B.
Subject:	Transportation. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28412983
ISBN:	9798728252283

Eav Fleet Management in Transportation and Power Systems.
Zhao, Dongfang.

Eav Fleet Management in Transportation and Power Systems. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 103 p.

Source: Dissertations Abstracts International, Volume: 82-11, Section: B.

Thesis (Ph.D.)--University of South Florida, 2021.

This item must not be sold to any third party vendors.

Electrical vehicles (EV) by the nature of the technology assume a dual role of supplying transportation mobility and storing electric power. Thus, operations of EV impact both transportation and power grid systems. The design of infrastructure and operations of EV fleet is critical to the benefit of both systems to the society. Thus, this study proposes three models to investigate the optimal design of the infrastructure in both systems and the operations of EV fleets: 1) a dynamic and time-continuous optimization model seeking the optimal design of charging station location and EAV deployment is developed in a station-based car-sharing service system that integrates both EAV technologies and car sharing operations, 2) an integer programming model is proposed to determine the optimal policy on time allocation of the EV fleet over the two systems and 3) a Markov Decision Process is proposed to find the optimal time schedule and routing of empty EVs considering serving both systems.

ISBN: 9798728252283Subjects--Topical Terms:

555912
Transportation.
Subjects--Index Terms:

Electrical vehicles

Eav Fleet Management in Transportation and Power Systems.
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100 1 $a Zhao, Dongfang. $3 3344127
245 1 0 $a Eav Fleet Management in Transportation and Power Systems.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2021
300 $a 103 p.
500 $a Source: Dissertations Abstracts International, Volume: 82-11, Section: B.
500 $a Advisor: Li, Xiaopeng.
502 $a Thesis (Ph.D.)--University of South Florida, 2021.
506 $a This item must not be sold to any third party vendors.
520 $a Electrical vehicles (EV) by the nature of the technology assume a dual role of supplying transportation mobility and storing electric power. Thus, operations of EV impact both transportation and power grid systems. The design of infrastructure and operations of EV fleet is critical to the benefit of both systems to the society. Thus, this study proposes three models to investigate the optimal design of the infrastructure in both systems and the operations of EV fleets: 1) a dynamic and time-continuous optimization model seeking the optimal design of charging station location and EAV deployment is developed in a station-based car-sharing service system that integrates both EAV technologies and car sharing operations, 2) an integer programming model is proposed to determine the optimal policy on time allocation of the EV fleet over the two systems and 3) a Markov Decision Process is proposed to find the optimal time schedule and routing of empty EVs considering serving both systems.
590 $a School code: 0206.
650 4 $a Transportation. $3 555912
650 4 $a Alternative energy. $3 3436775
650 4 $a Electrical engineering. $3 649834
650 4 $a Civil engineering. $3 860360
653 $a Electrical vehicles
653 $a Civil engineer
653 $a Power systems
690 $a 0709
690 $a 0543
690 $a 0544
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710 2 $a University of South Florida. $b Civil and Environmental Engineering. $3 1680496
773 0 $t Dissertations Abstracts International $g 82-11B.
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791 $a Ph.D.
792 $a 2021
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28412983