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The theory of storage in a power system with stochastic demand
Monash Univ, Monash, Australia.
KTH, School of Electrical Engineering and Computer Science (EECS), Electric Power and Energy Systems.ORCID iD: 0000-0002-9998-9773
2026 (English)In: Energy Economics, ISSN 0140-9883, E-ISSN 1873-6181, Vol. 153, article id 109078Article in journal (Refereed) Published
Abstract [en]

Electric power systems are increasingly turning to energy storage systems to balance supply and demand. But how much storage is required? What is the optimal volume of storage in a power system and on what does it depend? In addition, what form of hedge contracts do storage facilities require? We answer these questions in the special case in which the uncertainty in the power system involves successive draws of an independent, identically-distributed random variable. We characterise the conditions for the optimal operation of, and investment in, storage and show how these conditions can be understood graphically using price-duration curves. We also characterise the optimal hedge contracts for storage units.

Place, publisher, year, edition, pages
Elsevier BV , 2026. Vol. 153, article id 109078
Keywords [en]
Energy storage, Screening curves, Merchant storage investment, Hedges for storage, Storage expansion planning
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-377244DOI: 10.1016/j.eneco.2025.109078ISI: 001638214200001Scopus ID: 2-s2.0-105023957301OAI: oai:DiVA.org:kth-377244DiVA, id: diva2:2041318
Note

QC 20260224

Available from: 2026-02-24 Created: 2026-02-24 Last updated: 2026-02-24Bibliographically approved

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Hesamzadeh, Mohammad Reza

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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf