Moriarty, J and Palczewski, J orcid.org/0000-0003-0235-8746 (2017) Real option valuation for reserve capacity. European Journal of Operational Research, 257 (1). pp. 251-260. ISSN 0377-2217
Abstract
Motivated by the potential use of electricity storage to smooth fluctuations in supply and demand, we study the problem of writing American-type call options when the holder’s exercise strategy is of threshold type (so that the time of exercise is known, but random). The writer must provide physical cover by buying and storing the asset before selling the option. We optimise the writer’s strategy for a single option and for an infinite sequence of options, these two strategies being different. The latter is motivated by the lifetime valuation of an energy storage unit when used as reserve capacity in a power system. Our stochastic process is a Brownian motion representing the real-time system imbalance, and which we rescale to represent an imbalance price. The single option leads to an optimal stopping problem in which the principle of smooth fit may be violated and the stopping region may be disconnected. The lifetime analysis uses techniques and results for the single option to construct a certain fixed point characterising the value function.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016 Elsevier B.V. This is an author produced version of a paper published in European Journal of Operational Research. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Applied probability, OR in energy, real option, power system balancing, capacity market |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mathematics (Leeds) > Statistics (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 11 Jul 2016 14:47 |
Last Modified: | 11 Jan 2023 11:50 |
Published Version: | https://doi.org/10.1016/j.ejor.2016.07.003 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.ejor.2016.07.003 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:102001 |