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Eav Fleet Management in Transportation and Power Systems.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Eav Fleet Management in Transportation and Power Systems./
作者:
Zhao, Dongfang.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:
103 p.
附註:
Source: Dissertations Abstracts International, Volume: 82-11, Section: B.
Contained By:
Dissertations Abstracts International82-11B.
標題:
Transportation. -
電子資源:
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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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.
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