Optimal forward trading and battery control under renewable electricity generation

Hinz, J; Yee, J

Optimal forward trading and battery control under renewable electricity generation

Hinz, J

Yee, J

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Publication Type:: Journal Article
Citation:: Journal of Banking and Finance, 2018, 95 pp. 244 - 254
Issue Date:: 2018-10-01

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Field	Value	Language
dc.contributor.author	Hinz, J https://orcid.org/0000-0003-4076-8818	en_US
dc.contributor.author	Yee, J	en_US
dc.date.issued	2018-10-01	en_US
dc.identifier.citation	Journal of Banking and Finance, 2018, 95 pp. 244 - 254	en_US
dc.identifier.issn	0378-4266	en_US
dc.identifier.uri	http://hdl.handle.net/10453/130768
dc.description.abstract	© 2017 Elsevier B.V. The increased market penetration of renewable energy sources and the rapid development of electric battery storage technologies yield a potential for reducing electricity price volatility while maintaining stability of the power grid. This work presents an algorithmic approach to control battery levels and forward positions to optimally manage power output fluctuations caused by intermittent renewable energy generation. This paper will also explore the effect of battery technology on the firm's optimal trading behaviour in the electricity spot market.	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP130103315
dc.relation.ispartof	Journal of Banking and Finance	en_US
dc.relation.isbasedon	10.1016/j.jbankfin.2017.06.006	en_US
dc.subject.classification	Finance	en_US
dc.title	Optimal forward trading and battery control under renewable electricity generation	en_US
dc.type	Journal Article
utslib.citation.volume	95	en_US
utslib.for	0102 Applied Mathematics	en_US
utslib.for	1502 Banking, Finance and Investment	en_US
utslib.for	1401 Economic Theory	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/DVC (Teaching and Learning)
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Mathematical and Physical Sciences
pubs.organisational-group	/University of Technology Sydney/Strength - QFRC - Quantitative Finance Research Centre
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	95	en_US

Abstract:

© 2017 Elsevier B.V. The increased market penetration of renewable energy sources and the rapid development of electric battery storage technologies yield a potential for reducing electricity price volatility while maintaining stability of the power grid. This work presents an algorithmic approach to control battery levels and forward positions to optimally manage power output fluctuations caused by intermittent renewable energy generation. This paper will also explore the effect of battery technology on the firm's optimal trading behaviour in the electricity spot market.

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

http://hdl.handle.net/10453/130768