Assessing Energy Storage Requirements Based on Accepted Risks

Michael Evans, S.H. Tindemans

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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Abstract

This paper presents a framework for deriving the storage capacity that an electricity system requires in order to satisfy a chosen risk appetite. The framework takes as inputs user-defined event categories, parameterised by peak power-not-served, acceptable number of events per year and permitted probability of exceeding these constraints, and returns as an output the total capacity of storage that is needed. For increased model accuracy, our methodology incorporates multiple nodes with limited transfer capacities, and we provide a foresight-free dispatch policy for application to this setting. Finally, we demonstrate the chance-constrained capacity determination via application to a model of the British network.
Original languageEnglish
Title of host publication2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)
Pages1109-1113
Number of pages5
ISBN (Electronic)978-1-7281-7100-5
DOIs
Publication statusPublished - Oct 2020
Event10th IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2020 - Virtual/online event due to COVID-19, Delft, Netherlands
Duration: 26 Oct 202028 Oct 2020
Conference number: 10
https://ieee-isgt-europe.org/

Conference

Conference10th IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2020
Abbreviated titleISGT-Europe 2020
Country/TerritoryNetherlands
CityDelft
Period26/10/2028/10/20
OtherVirtual/online event due to COVID-19
Internet address

Keywords

  • Ancillary service
  • Chance-constrained optimisation
  • Energy storage systems
  • Optimal control
  • System adequacy

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