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Evaluation tool for direct load control of electric vehicle charging and water heating systems
Citation
Patel, S and Negnevitsky, M and Wong, K, Evaluation tool for direct load control of electric vehicle charging and water heating systems, Proceedings of the 2015 International Symposium on Smart Electric Distribution Systems and Technologies (EDST), 7-11 September, Vienna, Austria, pp. 88-92. ISBN 978-1-4799-7736-9 (2015) [Refereed Conference Paper]
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Copyright Statement
Copyright 2015 IEEE
Official URL: http://www.edst2015.org/
DOI: doi:10.1109/SEDST.2015.7315188
Abstract
Due to growing concerns for the environment, the electrification of the transport sector is considered as one of the most promising methods for reducing greenhouse gas emissions. Increased penetration of electric vehicles (EVs) will create a new demand for electricity within the residential distribution network, which can negatively impact the grid if the EV loads are left unmanaged. This could lead to expensive upgrades of the distribution network. The primary aim of this research is to develop a tool to estimate the impact of EVs on the distribution network, which will then allow users of the tool to make informed decisions regarding electrical infrastructure upgrades. The tool combines direct load control (DLC) of EV and hot water loads to estimate the maximum level of EV penetration possible without system upgrades.
Item Details
Item Type: | Refereed Conference Paper |
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Keywords: | demand side management (DSM), electric vehicles, stagger charge, residential distribution network |
Research Division: | Engineering |
Research Group: | Electrical and Electronic Engineering |
Research Field: | Power and Energy Systems Engineering (excl. Renewable Power) |
Objective Division: | Energy |
Objective Group: | Energy Storage, Distribution and Supply |
Objective Field: | Energy Services and Utilities |
UTAS Author: | Patel, S (Ms Sophiya Patel) |
UTAS Author: | Negnevitsky, M (Professor Michael Negnevitsky) |
UTAS Author: | Wong, K (Mr Koon Wong) |
ID Code: | 105792 |
Year Published: | 2015 |
Deposited By: | Engineering |
Deposited On: | 2016-01-14 |
Last Modified: | 2017-11-06 |
Downloads: | 0 |
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