Advanced power routing framework for optimal economic operation and control of solar photovoltaic-based islanded microgrid

Mahmud, MAP; Hossain, MJ; Nizami, MSH; Rahman, MS; Farjana, SH; Huda, N; Lang, C

Advanced power routing framework for optimal economic operation and control of solar photovoltaic-based islanded microgrid

Mahmud, MAP Hossain, MJ Nizami, MSH Rahman, MS Farjana, SH Huda, N Lang, C

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Publisher:: Institution of Engineering and Technology (IET)
Publication Type:: Journal Article
Citation:: IET Smart Grid, 2019, 2, (2), pp. 242-249
Issue Date:: 2019-06-01

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Field	Value	Language
dc.contributor.author	Mahmud, MAP
dc.contributor.author	Hossain, MJ
dc.contributor.author	Nizami, MSH
dc.contributor.author	Rahman, MS
dc.contributor.author	Farjana, SH
dc.contributor.author	Huda, N
dc.contributor.author	Lang, C
dc.date.accessioned	2020-06-12T09:13:06Z
dc.date.available	2020-06-12T09:13:06Z
dc.date.issued	2019-06-01
dc.identifier.citation	IET Smart Grid, 2019, 2, (2), pp. 242-249
dc.identifier.issn	2515-2947
dc.identifier.uri	http://hdl.handle.net/10453/141391
dc.description.abstract	© 2019 Institution of Engineering and Technology. All rights reserved. Energy sharing through a microgrid (MG) is essential for islanded communities to maximise the use of distributed energy resources (DERs) and battery energy storage systems (BESSs). Proper energy management and control strategies of such MGs can offer revenue to prosumers (active consumers with DERs) by routing excess energy to their neighbours and maintaining grid constraints at the same time. This paper proposes an advanced power-routing framework for a solarphotovoltaic (PV)-based islanded MG with a central storage system (CSS). An optimisation-based economic operation for the MG is developed that determines the power routing and energy sharing in the MG in the day-ahead stage. A modified droop controller-based real-time control strategy has been established that maintains the voltage constraints of the MG. The proposed power-routing framework is verified via a case study for a typical islanded MG. The outcome of the optimal economic operation and a controller verification of the proposed framework are presented to demonstrate the effectiveness of the proposed powerrouting framework. Results reveal that the proposed framework performs a stable control operation and provides a profit of 57 AU$/day at optimal conditions.
dc.language	en
dc.publisher	Institution of Engineering and Technology (IET)
dc.relation.ispartof	IET Smart Grid
dc.relation.isbasedon	10.1049/iet-stg.2018.0202
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	This paper is a postprint of a paper submitted to and accepted for publication in IET Smart Grid and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at the IET Digital Library.	en_US
dc.title	Advanced power routing framework for optimal economic operation and control of solar photovoltaic-based islanded microgrid
dc.type	Journal Article
utslib.citation.volume	2
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	open_access	*
dc.date.updated	2020-06-12T09:13:01Z
pubs.issue	2
pubs.publication-status	Published
pubs.volume	2
utslib.citation.issue	2

Abstract:

© 2019 Institution of Engineering and Technology. All rights reserved. Energy sharing through a microgrid (MG) is essential for islanded communities to maximise the use of distributed energy resources (DERs) and battery energy storage systems (BESSs). Proper energy management and control strategies of such MGs can offer revenue to prosumers (active consumers with DERs) by routing excess energy to their neighbours and maintaining grid constraints at the same time. This paper proposes an advanced power-routing framework for a solarphotovoltaic (PV)-based islanded MG with a central storage system (CSS). An optimisation-based economic operation for the MG is developed that determines the power routing and energy sharing in the MG in the day-ahead stage. A modified droop controller-based real-time control strategy has been established that maintains the voltage constraints of the MG. The proposed power-routing framework is verified via a case study for a typical islanded MG. The outcome of the optimal economic operation and a controller verification of the proposed framework are presented to demonstrate the effectiveness of the proposed powerrouting framework. Results reveal that the proposed framework performs a stable control operation and provides a profit of 57 AU$/day at optimal conditions.

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http://hdl.handle.net/10453/141391