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Title:Charging facility allocation in smart cities
Author(s):Chang, Siting
Department / Program:Computer Science
Discipline:Computer Science
Degree Granting Institution:University of Illinois at Urbana-Champaign
Subject(s):Charging facility, planning, optimization, EV, charging station, charging pad, traffic flow, energy source, placement, smart city
Abstract:The raising concerns of energy consumption and air pollution advance the development of electric vehicle technologies and promote the increased deployment of Electric Vehicles (EVs) towards electric transportation. The increasing number of EVs on the road network leads to a growing challenge of electricity management for the power grid to promptly supply electricity to EVs. In order to address this challenge, we need to carefully plan the energy sources and energy delivery via charging facilities to EVs, taking into consideration interdependencies between roads/transportation and electric grid. In this thesis, we focus on studying the placement of energy sources and their charging facilities for EVs by developing: 1) an extended Flow Refueling Location model which finds optimal locations for charging stations as well as dynamic wireless charging pads, and 2) a 2-stage planning process for placement of charging station. The first stage of the planning process is to determine the optimal locations for placing the charging stations to serve the maximum amount of EVs on the road network. Given the selected optimal locations, the second stage determines the capacity of the charging service locations with the purpose of minimizing the total waiting time of EV drivers across the road network to charge their EVs. We show the effectiveness of these two planning models on a sample road network during our performance evaluation.
Issue Date:2016-04-27
Rights Information:Copyright 2016 Siting Chang
Date Available in IDEALS:2016-07-07
Date Deposited:2016-05

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