Improving power quality of distributed pv-ev distribution grid by mitigating unbalance

Islam, MR; Helen Lu, H; Hossain, MJ; Li, L

Improving power quality of distributed pv-ev distribution grid by mitigating unbalance

Islam, MR Helen Lu, H

Hossain, MJ Li, L

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Publication Type:: Conference Proceeding
Citation:: Proceedings of the IEEE International Conference on Industrial Technology, 2019, 2019-February pp. 643 - 648
Issue Date:: 2019-02-01

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Field	Value	Language
dc.contributor.author	Islam, MR	en_US
dc.contributor.author	Helen Lu, H https://orcid.org/0000-0001-5655-0237	en_US
dc.contributor.author	Hossain, MJ	en_US
dc.contributor.author	Li, L https://orcid.org/0000-0001-8485-2216	en_US
dc.date.available	2021-08-12T19:00:49Z
dc.date.issued	2019-02-01	en_US
dc.identifier.citation	Proceedings of the IEEE International Conference on Industrial Technology, 2019, 2019-February pp. 643 - 648	en_US
dc.identifier.isbn	9781538663769	en_US
dc.identifier.uri	http://hdl.handle.net/10453/134631
dc.description.abstract	© 2019 IEEE. Increasing price of fossil fuels and public awareness encouraged many countries to use clean technologies in transport and electricity generation sector. The advent of smart meters can identify unbalance in PV-EV distribution grid which is a great concern for Distribution Service Operators (DSOs). Several researchers have accessed the degree of unbalance and impact of unbalance on distribution grids considering either distributed PV or EVs. Moreover, a few research work has been done for mitigating unbalance till now. This paper measures unbalance due to unequal distribution of loads and sources among three phases and assess the impact of unbalance on power quality of the PV-EV distribution system by considering different PV and EV penetration levels using DigSILENT Power Factory simulation software. An improved method is proposed to mitigate unbalance using Genetic Algorithm by optimizing load distribution among phases. Finally, the efficacy of the proposed method is evaluated considering unequally distributed residential and EV load scenarios, and it is found that the proposed method can reduce a significant amount of unbalance at all the buses of the distribution grid.	en_US
dc.relation.ispartof	Proceedings of the IEEE International Conference on Industrial Technology	en_US
dc.relation.isbasedon	10.1109/ICIT.2019.8755068	en_US
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.title	Improving power quality of distributed pv-ev distribution grid by mitigating unbalance	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2019-February	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
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 Computer Science
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/Strength - CAI - Centre for Artificial Intelligence
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	open_access	*
pubs.publication-status	Published	en_US
pubs.volume	2019-February	en_US

Abstract:

© 2019 IEEE. Increasing price of fossil fuels and public awareness encouraged many countries to use clean technologies in transport and electricity generation sector. The advent of smart meters can identify unbalance in PV-EV distribution grid which is a great concern for Distribution Service Operators (DSOs). Several researchers have accessed the degree of unbalance and impact of unbalance on distribution grids considering either distributed PV or EVs. Moreover, a few research work has been done for mitigating unbalance till now. This paper measures unbalance due to unequal distribution of loads and sources among three phases and assess the impact of unbalance on power quality of the PV-EV distribution system by considering different PV and EV penetration levels using DigSILENT Power Factory simulation software. An improved method is proposed to mitigate unbalance using Genetic Algorithm by optimizing load distribution among phases. Finally, the efficacy of the proposed method is evaluated considering unequally distributed residential and EV load scenarios, and it is found that the proposed method can reduce a significant amount of unbalance at all the buses of the distribution grid.

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http://hdl.handle.net/10453/134631