Graduation Year
2021
Document Type
Dissertation
Degree
Ph.D.
Degree Name
Doctor of Philosophy (Ph.D.)
Degree Granting Department
Civil and Environmental Engineering
Major Professor
Li Xiaopeng, Ph.D.
Committee Member
Yu Zhang, Ph.D.
Committee Member
Lu Lu, Ph.D.
Committee Member
Changhyun Kwon, Ph.D.
Committee Member
Xin Wang, Ph.D.
Committee Member
Jianhui Wang, Ph.D.
Keywords
Electric Vehicle, Shared Mobility, Discharging, Dynamic Programming, Integer Programming, Markov Decision Process
Abstract
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.
Scholar Commons Citation
Zhao, Dongfang, "EAV Fleet Management in Transportation and Power Systems" (2021). USF Tampa Graduate Theses and Dissertations.
https://digitalcommons.usf.edu/etd/8894
