Management of Renewable Energy for a Shared Facility Controller in Smart Grid

Tushar, W; Zhang, JA; Yuen, C; Smith, DB; Ul Hassan, N

Management of Renewable Energy for a Shared Facility Controller in Smart Grid

Tushar, W Zhang, JA

Yuen, C Smith, DB Ul Hassan, N

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Publication Type:: Journal Article
Citation:: IEEE Access, 2016, 4 pp. 4269 - 4281
Issue Date:: 2016-01-01

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Field	Value	Language
dc.contributor.author	Tushar, W	en_US
dc.contributor.author	Zhang, JA https://orcid.org/0000-0002-6102-3762	en_US
dc.contributor.author	Yuen, C	en_US
dc.contributor.author	Smith, DB	en_US
dc.contributor.author	Ul Hassan, N	en_US
dc.date.issued	2016-01-01	en_US
dc.identifier.citation	IEEE Access, 2016, 4 pp. 4269 - 4281	en_US
dc.identifier.uri	http://hdl.handle.net/10453/116798
dc.description.abstract	© 2016 IEEE. This paper proposes an energy management scheme to maximize the use of solar energy in the smart grid. In this context, a shared facility controller (SFC) with a number of solar photovoltaic panels in a smart community is considered that has the capability to schedule the generated energy for consumption and trade to other entities. In particular, a mechanism is designed for the SFC to decide on the energy surplus, if there is any, that it can use to charge its battery and sell to the households and the grid based on the offered prices. In this regard, a hierarchical energy management scheme is proposed with a view to reduce the total operational cost to the SFC. The concept of a virtual cost is introduced that aids the SFC to estimate its future operational cost based on some available current information. The energy management is conducted for three different cases, and the optimal cost to the SFC is determined for each case by the theory of maxima and minima. A real-time algorithm is proposed to reach the optimal cost for all cases, and some numerical examples are provided to demonstrate the beneficial properties of the proposed scheme.	en_US
dc.relation.ispartof	IEEE Access	en_US
dc.relation.isbasedon	10.1109/ACCESS.2016.2592509	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Management of Renewable Energy for a Shared Facility Controller in Smart Grid	en_US
dc.type	Journal Article
utslib.citation.volume	4	en_US
utslib.for	090608 Renewable Power and Energy Systems Engineering (excl. Solar Cells)	en_US
utslib.for	08 Information and Computing Sciences	en_US
utslib.for	09 Engineering	en_US
utslib.for	10 Technology	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 Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
utslib.copyright.status	open_access	*
pubs.publication-status	Published	en_US
pubs.volume	4	en_US

Abstract:

© 2016 IEEE. This paper proposes an energy management scheme to maximize the use of solar energy in the smart grid. In this context, a shared facility controller (SFC) with a number of solar photovoltaic panels in a smart community is considered that has the capability to schedule the generated energy for consumption and trade to other entities. In particular, a mechanism is designed for the SFC to decide on the energy surplus, if there is any, that it can use to charge its battery and sell to the households and the grid based on the offered prices. In this regard, a hierarchical energy management scheme is proposed with a view to reduce the total operational cost to the SFC. The concept of a virtual cost is introduced that aids the SFC to estimate its future operational cost based on some available current information. The energy management is conducted for three different cases, and the optimal cost to the SFC is determined for each case by the theory of maxima and minima. A real-time algorithm is proposed to reach the optimal cost for all cases, and some numerical examples are provided to demonstrate the beneficial properties of the proposed scheme.

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http://hdl.handle.net/10453/116798