Rebound behaviour of uncoordinated EMS and their impact minimisation

Mahmud, K; Ravishankar, J; Hossain, J

Rebound behaviour of uncoordinated EMS and their impact minimisation

Mahmud, K Ravishankar, J Hossain, J

Permalink

Publisher:: Institution of Engineering and Technology (IET)
Publication Type:: Journal Article
Citation:: IET Smart Grid, 2020, 3, (2), pp. 237-245
Issue Date:: 2020-04-01

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

Adobe PDF

Download Published versionAdobe PDF (2.21 MB)

View on publisher's site

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Mahmud, K
dc.contributor.author	Ravishankar, J
dc.contributor.author	Hossain, J https://orcid.org/0000-0001-7602-3581
dc.date.accessioned	2021-06-02T21:16:26Z
dc.date.available	2021-06-02T21:16:26Z
dc.date.issued	2020-04-01
dc.identifier.citation	IET Smart Grid, 2020, 3, (2), pp. 237-245
dc.identifier.issn	2515-2947
dc.identifier.issn	2515-2947
dc.identifier.uri	http://hdl.handle.net/10453/149374
dc.description.abstract	In this paper, the impacts of uncoordinated energy management systems (EMS), with a rebound effect, on a renewable energy-dependent microgrid are discussed and feasible solutions are presented. Two different approaches, i.e. load-based and price-based EMS are modelled which consider PV units, battery energy storage systems (BESS), and electric vehicles (EVs). Taking account of each component's boundary conditions, the load-based approach intelligently charges the EV and BESS from the grid/PV during off-peak hours, and provides a combined discharge response during peak load hours. In the price-based approach, the charging-discharging of BESSs and EVs from/to grid and PV depends on the time-of-use tariff signal. The primary objective of both models is to minimise the customers' peak electricity consumption and the saturation issues of distribution transformers. It is observed that the simultaneous response of the EMS due to the identical behaviour of load or price curves, and the rebound effect after mode switching transition create large power demand spikes. To mitigate its negative consequence, an improved locking and randomisation technique is designed and implemented. Additionally, the impact of the PV power fluctuations on the load-support systems due to fast-moving clouds and their consequences to the behaviour of the EMS response are investigated.
dc.language	en
dc.publisher	Institution of Engineering and Technology (IET)
dc.relation.ispartof	IET Smart Grid
dc.relation.isbasedon	10.1049/iet-stg.2019.0158
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Rebound behaviour of uncoordinated EMS and their impact minimisation
dc.type	Journal Article
utslib.citation.volume	3
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 Electrical and Data Engineering
utslib.copyright.status	open_access	*
dc.date.updated	2021-06-02T21:16:24Z
pubs.issue	2
pubs.publication-status	Published
pubs.volume	3
utslib.citation.issue	2

Abstract:

In this paper, the impacts of uncoordinated energy management systems (EMS), with a rebound effect, on a renewable energy-dependent microgrid are discussed and feasible solutions are presented. Two different approaches, i.e. load-based and price-based EMS are modelled which consider PV units, battery energy storage systems (BESS), and electric vehicles (EVs). Taking account of each component's boundary conditions, the load-based approach intelligently charges the EV and BESS from the grid/PV during off-peak hours, and provides a combined discharge response during peak load hours. In the price-based approach, the charging-discharging of BESSs and EVs from/to grid and PV depends on the time-of-use tariff signal. The primary objective of both models is to minimise the customers' peak electricity consumption and the saturation issues of distribution transformers. It is observed that the simultaneous response of the EMS due to the identical behaviour of load or price curves, and the rebound effect after mode switching transition create large power demand spikes. To mitigate its negative consequence, an improved locking and randomisation technique is designed and implemented. Additionally, the impact of the PV power fluctuations on the load-support systems due to fast-moving clouds and their consequences to the behaviour of the EMS response are investigated.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/149374