Chance-Constrained Ancillary Service Specification for Heterogeneous Storage Devices

Michael Evans, David Angeli, Goran Strbac, Simon H. Tindemans

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

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Abstract

We present a method to find the maximum magnitude of any supply-shortfall service that an aggregator of energy storage devices is able to sell to a grid operator. This is first demonstrated in deterministic settings, then applied to scenarios in which device availabilities are stochastic. In this case we implement chance constraints on the inability to deliver as promised. We show a significant computational improvement in using our method in place of straightforward scenario simulation. As an extension, we present an approximation to this method which allows the determined fleet capability to be applied to any chosen service, rather than having to re-solve the chance-constrained optimisation each time.
Original languageEnglish
Title of host publicationProceedings of 2019 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2019
Place of PublicationDanvers
PublisherIEEE
Pages1-5
Number of pages5
ISBN (Electronic)978-1-5386-8218-0
ISBN (Print)978-1-5386-8219-7
DOIs
Publication statusPublished - 22 May 2019

Publication series

NameProceedings of 2019 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2019

Keywords

  • Energy storage systems
  • ancillary service
  • chance-constrained optimisation
  • optimal control

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