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...
Saved in:
Main Author: | |
---|---|
Other Authors: | |
Format: | Theses and Dissertations |
Language: | English |
Published: |
2016
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/66237 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-66237 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.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 |
institution |
Nanyang Technological University |
building |
NTU Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NTU Library |
collection |
DR-NTU |
language |
English |
topic |
DRNTU::Engineering::Electrical and electronic engineering::Electric power::Production, transmission and distribution |
spellingShingle |
DRNTU::Engineering::Electrical and electronic engineering::Electric power::Production, transmission and distribution Tang, Difei Holistic fleet management systems for electric vehicles |
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. |
author2 |
Wang Peng |
author_facet |
Wang Peng Tang, Difei |
format |
Theses and Dissertations |
author |
Tang, Difei |
author_sort |
Tang, Difei |
title |
Holistic fleet management systems for electric vehicles |
title_short |
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_sort |
holistic fleet management systems for electric vehicles |
publishDate |
2016 |
url |
http://hdl.handle.net/10356/66237 |
_version_ |
1772826149611634688 |