Robustly Maximal Utilisation of Energy-Constrained Distributed Resources

Michael Evans, David Angeli, Simon Tindemans

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

4 Citations (Scopus)
24 Downloads (Pure)

Abstract

We consider the problem of dispatching a fleet of distributed energy reserve devices to collectively meet a sequence of power requests over time. Under the restriction that reserves cannot be replenished, we aim to maximise the survival time of an energy-constrained islanded electrical system; and we discuss realistic scenarios in which this might be the ultimate goal of the grid operator. We present a policy that achieves this optimality, and generalise this into a set-theoretic result that implies there is no better policy available, regardless of the realised energy requirement scenario.
Original languageEnglish
Title of host publication2018 Power Systems Computation Conference (PSCC)
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages1-7
Number of pages7
ISBN (Electronic)978-1-910963-10-4
DOIs
Publication statusPublished - 11 Jun 2018
Event20th Power Systems Computation Conference, PSCC 2018 - Dublin, Ireland
Duration: 11 Jun 201815 Jun 2018
http://www.pscc2018.net/

Conference

Conference20th Power Systems Computation Conference, PSCC 2018
CountryIreland
CityDublin
Period11/06/1815/06/18
Internet address

Keywords

  • distribution networks
  • reliability analysis
  • network topology
  • Monte Carlo simulations

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