Impact of demand response management on chargeability of electric vehicles

Large-scale penetration of electric vehicles (EVs) would significantly increase the load requirements of buildings in highly urbanized cities. EVs exhibit higher degree of charging flexibility when compared to other interruptible loads in buildings. Hence, EVs can be assigned lower priority and inte...

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Main Authors: Nandha Kumar, Kandasamy, Tseng, King Jet
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2016
Subjects:
Online Access:https://hdl.handle.net/10356/81514
http://hdl.handle.net/10220/40838
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-815142020-03-07T13:57:23Z Impact of demand response management on chargeability of electric vehicles Nandha Kumar, Kandasamy Tseng, King Jet School of Electrical and Electronic Engineering Demand response management Electric vehicles Large-scale penetration of electric vehicles (EVs) would significantly increase the load requirements of buildings in highly urbanized cities. EVs exhibit higher degree of charging flexibility when compared to other interruptible loads in buildings. Hence, EVs can be assigned lower priority and interrupted before interrupting any other loads. Any temporary interruption will have minimum impact on EV owner's satisfaction/comfort. However, it should be ensured that the EVs could be charged to the owner's required state of charge (SOC) by the time of departure. The scheduling algorithms that are used to manage the EV charging process ensure that the charging requirements are fulfilled even when there are temporary interruptions. The capability of the scheduling algorithms to manage mismatches decreases with the decrease in time available for charging. In this paper, the impact of demand response management (DRM) on the chargeability of the EVs while using different priority criteria is examined. Subsequently, the proportion of interruption for each EV with different priority criteria and the need for determining the chargeability of EVs before shedding them are studied. A scheduling driven algorithm is proposed which can be used for determining the chargeability of EVs and can be used in combination with DRM. Published version 2016-06-29T05:53:41Z 2019-12-06T14:32:42Z 2016-06-29T05:53:41Z 2019-12-06T14:32:42Z 2016 2016 Journal Article Nandha Kumar, K., & Tseng, K. J. (2016). Impact of demand response management on chargeability of electric vehicles. Energy, 111, 190-196. 0360-5442 https://hdl.handle.net/10356/81514 http://hdl.handle.net/10220/40838 10.1016/j.energy.2016.05.120 194898 en Energy © 2016 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). 7 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Demand response management
Electric vehicles
spellingShingle Demand response management
Electric vehicles
Nandha Kumar, Kandasamy
Tseng, King Jet
Impact of demand response management on chargeability of electric vehicles
description Large-scale penetration of electric vehicles (EVs) would significantly increase the load requirements of buildings in highly urbanized cities. EVs exhibit higher degree of charging flexibility when compared to other interruptible loads in buildings. Hence, EVs can be assigned lower priority and interrupted before interrupting any other loads. Any temporary interruption will have minimum impact on EV owner's satisfaction/comfort. However, it should be ensured that the EVs could be charged to the owner's required state of charge (SOC) by the time of departure. The scheduling algorithms that are used to manage the EV charging process ensure that the charging requirements are fulfilled even when there are temporary interruptions. The capability of the scheduling algorithms to manage mismatches decreases with the decrease in time available for charging. In this paper, the impact of demand response management (DRM) on the chargeability of the EVs while using different priority criteria is examined. Subsequently, the proportion of interruption for each EV with different priority criteria and the need for determining the chargeability of EVs before shedding them are studied. A scheduling driven algorithm is proposed which can be used for determining the chargeability of EVs and can be used in combination with DRM.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Nandha Kumar, Kandasamy
Tseng, King Jet
format Article
author Nandha Kumar, Kandasamy
Tseng, King Jet
author_sort Nandha Kumar, Kandasamy
title Impact of demand response management on chargeability of electric vehicles
title_short Impact of demand response management on chargeability of electric vehicles
title_full Impact of demand response management on chargeability of electric vehicles
title_fullStr Impact of demand response management on chargeability of electric vehicles
title_full_unstemmed Impact of demand response management on chargeability of electric vehicles
title_sort impact of demand response management on chargeability of electric vehicles
publishDate 2016
url https://hdl.handle.net/10356/81514
http://hdl.handle.net/10220/40838
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