The Optimal Control of Storage for Arbitrage and Buffering, with Energy Applications

James Cruise, Stan Zachary

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

We study the optimal control of storage which is used for both arbitrage and buffering against unexpected events (shocks), with particular applications to the control of energy systems in a stochastic and typically time-heterogeneous environment. Our philosophy is that of viewing the problem as being formally one of stochastic dynamic programming (SDP), but of recasting the SDP recursion in terms of functions which, if known, would reduce the associated optimisation problem to one which is deterministic, except that it must be re-solved at times when shocks occur. In the case of a perfectly efficient store facing linear buying and selling costs the functions required for this approach may be determined exactly; otherwise they may typically be estimated to good approximation. We provide characterisations of optimal control policies. We consider also the associated deterministic optimisation problem, outlining an approach to its solution which is both computationally tractable and—through the identification of a running forecast horizon—suitable for the management of systems over indefinitely extended periods of time. We give examples based on Great Britain electricity price data.

Original languageEnglish
Title of host publicationRenewable Energy
Subtitle of host publicationForecasting and Risk Management 2017
EditorsMathilde Mougeot, Dominique Picard, Peter Tankov, Riwal Plougonven, Philippe Drobinski
PublisherSpringer
Pages209-227
Number of pages19
ISBN (Electronic)9783319990521
ISBN (Print)9783319990514
DOIs
Publication statusPublished - 28 Dec 2018
EventWorkshop on Forecasting and Risk Management for Renewable Energy 2017 - Paris, France
Duration: 7 Jun 20179 Jun 2017

Publication series

NameSpringer Proceedings in Mathematics & Statistics
PublisherSpringer
ISSN (Print)2194-1009

Workshop

WorkshopWorkshop on Forecasting and Risk Management for Renewable Energy 2017
CountryFrance
CityParis
Period7/06/179/06/17

Keywords

  • Buffering
  • Control
  • Optimisation
  • Storage

ASJC Scopus subject areas

  • Mathematics(all)

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    Cruise, J., & Zachary, S. (2018). The Optimal Control of Storage for Arbitrage and Buffering, with Energy Applications. In M. Mougeot, D. Picard, P. Tankov, R. Plougonven, & P. Drobinski (Eds.), Renewable Energy: Forecasting and Risk Management 2017 (pp. 209-227). (Springer Proceedings in Mathematics & Statistics). Springer. https://doi.org/10.1007/978-3-319-99052-1_11