A Multi-agent system based residential electric vehicle management system for grid-support service

Nizami, MSH; Hossain, MJ; Rafique, S; Mahmud, K; Irshad, UB; Town, G

A Multi-agent system based residential electric vehicle management system for grid-support service

Nizami, MSH Hossain, MJ Rafique, S Mahmud, K Irshad, UB Town, G

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Publication Type:: Conference Proceeding
Citation:: Proceedings - 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2019, 2019
Issue Date:: 2019-06-01

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Field	Value	Language
dc.contributor.author	Nizami, MSH
dc.contributor.author	Hossain, MJ
dc.contributor.author	Rafique, S
dc.contributor.author	Mahmud, K
dc.contributor.author	Irshad, UB
dc.contributor.author	Town, G
dc.date.accessioned	2020-06-11T20:21:02Z
dc.date.available	2020-06-11T20:21:02Z
dc.date.issued	2019-06-01
dc.identifier.citation	Proceedings - 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2019, 2019
dc.identifier.isbn	9781728106526
dc.identifier.uri	http://hdl.handle.net/10453/141372
dc.description.abstract	© 2019 IEEE. With a spike in popularity and sales, the electric vehicles (EVs) have revolutionized the transportation industry. As EV technology advances, the EVs are becoming more accessible and affordable. Therefore, a rapid proliferation of light-duty EVs have been noticed in the residential sector. Even though the increased charging demand of EVs is manageable in large-scale, the low-voltage (LV) residential networks might not be capable of managing localized capacity issues of large scale EV integration. Dynamic electricity tariff coupled with demand response and smart charging management can provide grid assistance to some extent. However, uncoordinated charging, if clustered in a residential distribution feeder, can risk grid assets because of overloading and can even jeopardize the reliability of the network by violating voltage constraints. This paper proposes a coordinated residential EV management system for power grid support. Charging and discharging of residential EV batteries are coordinated and optimized to address grid overloading during peak demand periods and voltage constraint violations. The EV management for grid support is formulated as a mixed-integer programming based optimization problem to minimize the inconveniences of EV owner while providing grid assistance. The proposed methodology is evaluated via a case study based on a residential feeder in Sydney, Australia with actual load demand data. The simulation results indicate the efficacy of the proposed EV management method for mitigating grid overloading and maintaining desired bus voltages.
dc.language	en
dc.relation.ispartof	Proceedings - 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2019
dc.relation.isbasedon	10.1109/EEEIC.2019.8783799
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	A Multi-agent system based residential electric vehicle management system for grid-support service
dc.type	Conference Proceeding
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	closed_access	*
dc.date.updated	2020-06-11T20:20:56Z
pubs.publication-status	Published

Abstract:

© 2019 IEEE. With a spike in popularity and sales, the electric vehicles (EVs) have revolutionized the transportation industry. As EV technology advances, the EVs are becoming more accessible and affordable. Therefore, a rapid proliferation of light-duty EVs have been noticed in the residential sector. Even though the increased charging demand of EVs is manageable in large-scale, the low-voltage (LV) residential networks might not be capable of managing localized capacity issues of large scale EV integration. Dynamic electricity tariff coupled with demand response and smart charging management can provide grid assistance to some extent. However, uncoordinated charging, if clustered in a residential distribution feeder, can risk grid assets because of overloading and can even jeopardize the reliability of the network by violating voltage constraints. This paper proposes a coordinated residential EV management system for power grid support. Charging and discharging of residential EV batteries are coordinated and optimized to address grid overloading during peak demand periods and voltage constraint violations. The EV management for grid support is formulated as a mixed-integer programming based optimization problem to minimize the inconveniences of EV owner while providing grid assistance. The proposed methodology is evaluated via a case study based on a residential feeder in Sydney, Australia with actual load demand data. The simulation results indicate the efficacy of the proposed EV management method for mitigating grid overloading and maintaining desired bus voltages.

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http://hdl.handle.net/10453/141372