Holistic fleet management systems for electric vehicles

Large-scale adoption of moving EV loads significantly accelerates the integration of traffic and power systems. This thesis developed a novel Holistic Fleet Management System (HFMS) for impact assessment and alleviation on integrated traffic and power systems due to large-scale adoption of EVs. The...

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Bibliographic Details
Main Author: Tang, Difei
Other Authors: Wang Peng
Format: Thesis
Language:English
Published: 2016
Subjects:
Online Access:http://hdl.handle.net/10356/66237
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author Tang, Difei
author2 Wang Peng
author_facet Wang Peng
Tang, Difei
author_sort Tang, Difei
collection NTU
description Large-scale adoption of moving EV loads significantly accelerates the integration of traffic and power systems. This thesis developed a novel Holistic Fleet Management System (HFMS) for impact assessment and alleviation on integrated traffic and power systems due to large-scale adoption of EVs. The issues of transmission line congestion, bus voltage deviation, energy loss, traffic congestion at FCS and price-based EV load shifting mechanism have been formulated and addressed. A probabilistic model for nodal charging demand has been proposed based on the spatial-temporal dynamics of moving EVs. New techniques have been developed for nodal impact assessment and alleviation of moving EV loads in an integrated power and traffic system. The relationship between traffic flow and power flow has been investigated based on price-based EV load shifting demand response program. The impact assessment of large-scale adoption of EVs on traffic system has been investigated from the power system perspective.
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spelling ntu-10356/662372023-07-04T16:12:24Z Holistic fleet management systems for electric vehicles Tang, Difei Wang Peng School of Electrical and Electronic Engineering TUMCREATE DRNTU::Engineering::Electrical and electronic engineering::Electric power::Production, transmission and distribution Large-scale adoption of moving EV loads significantly accelerates the integration of traffic and power systems. This thesis developed a novel Holistic Fleet Management System (HFMS) for impact assessment and alleviation on integrated traffic and power systems due to large-scale adoption of EVs. The issues of transmission line congestion, bus voltage deviation, energy loss, traffic congestion at FCS and price-based EV load shifting mechanism have been formulated and addressed. A probabilistic model for nodal charging demand has been proposed based on the spatial-temporal dynamics of moving EVs. New techniques have been developed for nodal impact assessment and alleviation of moving EV loads in an integrated power and traffic system. The relationship between traffic flow and power flow has been investigated based on price-based EV load shifting demand response program. The impact assessment of large-scale adoption of EVs on traffic system has been investigated from the power system perspective. Doctor of Philosophy (EEE) 2016-03-21T06:34:37Z 2016-03-21T06:34:37Z 2016 Thesis Tang, D. (2016). Holistic fleet management systems for electric vehicles. Doctoral thesis, Nanyang Technological University, Singapore. http://hdl.handle.net/10356/66237 en 125 p. application/pdf
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Electric power::Production, transmission and distribution
Tang, Difei
Holistic fleet management systems for electric vehicles
title Holistic fleet management systems for electric vehicles
title_full Holistic fleet management systems for electric vehicles
title_fullStr Holistic fleet management systems for electric vehicles
title_full_unstemmed Holistic fleet management systems for electric vehicles
title_short Holistic fleet management systems for electric vehicles
title_sort holistic fleet management systems for electric vehicles
topic DRNTU::Engineering::Electrical and electronic engineering::Electric power::Production, transmission and distribution
url http://hdl.handle.net/10356/66237
work_keys_str_mv AT tangdifei holisticfleetmanagementsystemsforelectricvehicles