A Graphical Measure of Aggregate Flexibility for Energy-Constrained Distributed Resources

Michael Evans, Simon H. Tindemans, David Angeli

Research output: Contribution to journalArticleScientificpeer-review

2 Citations (Scopus)
98 Downloads (Pure)

Abstract

We consider the problem of dispatching a fleet of heterogeneous energy storage units to provide grid support. Under the restriction that recharging is not possible during the time frame of interest, we develop an aggregate measure of fleet flexibility with an intuitive graphical interpretation. This analytical expression summarises the full set of demand traces that the fleet can satisfy, and can be used for immediate and straightforward determination of the feasibility of any service request. This representation therefore facilitates a wide range of capability assessments, such as flexibility comparisons between fleets or the determination of a fleet’s ability to deliver ancillary services. Examples are shown of applications to fleet flexibility comparisons, signal feasibility assessment and the optimisation of ancillary service provision.
Original languageEnglish
Article number8718814
Pages (from-to)106-117
Number of pages12
JournalIEEE Transactions on Smart Grid
Volume11
Issue number1
DOIs
Publication statusPublished - 1 Jan 2020

Keywords

  • Distributed resources
  • energy storage systems
  • optimal control
  • aggregation
  • ancillary service

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