Energy-Storage Modeling: State-of-the-Art and Future Research Directions

Ramteen Sioshansi, Paul Denholm, Juan Arteaga, Sarah Awara, Shubhrajit Bhattacharjee, Audun Botterud, Wesley Cole, Andres Cortes, Anderson de Queiroz, Joseph DeCarolis, Zhenhuan Ding, Nicholas DiOrio, Yury Dvorkin, Udi Helman, Jeremiah Johnson, Ioannis Konstantelos, Trieu Mai, Hrvoje Pandzic, Daniel Sodano, Gordon StephenAlva Svoboda, Hamidreza Zareipour, Ziang Zhang

Research output: Contribution to journalArticlepeer-review

48 Scopus Citations

Abstract

Given its physical characteristics and the range of services that it can provide, energy storage raises unique modeling challenges. This paper summarizes capabilities that operational, planning, and resource-adequacy models that include energy storage should have and surveys gaps in extant models. Existing models that represent energy storage differ in fidelity of representing the balance of the power system and energy-storage applications. Modeling results are sensitive to these differences. The importance of capturing chronology can raise challenges in energy-storage modeling. Some models 'decouple' individual operating periods from one another, allowing for natural decomposition and rendering the models relatively computationally tractable. Energy storage complicates such a modeling approach. Improving the representation of the balance of the system can have major effects in capturing energy-storage costs and benefits.

Original languageAmerican English
Pages (from-to)860-875
Number of pages16
JournalIEEE Transactions on Power Systems
Volume37
Issue number2
DOIs
StatePublished - 1 Mar 2022

Bibliographical note

Publisher Copyright:
© 1969-2012 IEEE.

NREL Publication Number

  • NREL/JA-5C00-76865

Keywords

  • Energy storage
  • modeling
  • power system economics
  • power system expansion planning
  • power system operations

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