Two-way energy trading and online planning for fifth-generation communications with renewables

Chen, X; Wang, X; Ni, W; Collings, IB

Two-way energy trading and online planning for fifth-generation communications with renewables

Chen, X Wang, X Ni, W

Collings, IB

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Publication Type:: Conference Proceeding
Citation:: 2017 23rd Asia-Pacific Conference on Communications: Bridging the Metropolitan and the Remote, APCC 2017, 2018, 2018-January pp. 552 - 557
Issue Date:: 2018-02-27

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Field	Value	Language
dc.contributor.author	Chen, X	en_US
dc.contributor.author	Wang, X	en_US
dc.contributor.author	Ni, W https://orcid.org/0000-0002-4933-594X	en_US
dc.contributor.author	Collings, IB	en_US
dc.date.issued	2018-02-27	en_US
dc.identifier.citation	2017 23rd Asia-Pacific Conference on Communications: Bridging the Metropolitan and the Remote, APCC 2017, 2018, 2018-January pp. 552 - 557	en_US
dc.identifier.isbn	9781740523905	en_US
dc.identifier.uri	http://hdl.handle.net/10453/133904
dc.description.abstract	© 2017 University of Western Australia. Future fifth-generation (5G) cellular networks, equipped with energy harvesting devices, are uniquely positioned to closely interoperate with smart grid. New interoperable functionalities are discussed in stochastic two-way energy trading and online planning to improve efficiency and productivity. Challenges lie in the unavailability of a-priori knowledge on future wireless channels, energy pricing and harvesting. Lyapunov optimization techniques are utilized to address the challenges and stochastically optimize energy trading and planning. Particularly, it is able to decouple the optimization of energy trading and planning during individual time slots, hence eliminating the need for joint optimization across a large number of slots.	en_US
dc.relation.ispartof	2017 23rd Asia-Pacific Conference on Communications: Bridging the Metropolitan and the Remote, APCC 2017	en_US
dc.relation.isbasedon	10.23919/APCC.2017.8304075	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Two-way energy trading and online planning for fifth-generation communications with renewables	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2018-January	en_US
utslib.for	0906 Electrical and Electronic Engineering	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
utslib.copyright.status	closed_access	*
pubs.publication-status	Published	en_US
pubs.volume	2018-January	en_US

Abstract:

© 2017 University of Western Australia. Future fifth-generation (5G) cellular networks, equipped with energy harvesting devices, are uniquely positioned to closely interoperate with smart grid. New interoperable functionalities are discussed in stochastic two-way energy trading and online planning to improve efficiency and productivity. Challenges lie in the unavailability of a-priori knowledge on future wireless channels, energy pricing and harvesting. Lyapunov optimization techniques are utilized to address the challenges and stochastically optimize energy trading and planning. Particularly, it is able to decouple the optimization of energy trading and planning during individual time slots, hence eliminating the need for joint optimization across a large number of slots.

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http://hdl.handle.net/10453/133904