Robustly Maximal Utilisation of Energy-Constrained Distributed Resources

Conference Paper (2018)
Author(s)

Michael Evans (Imperial College London)

David Angeli (Imperial College London, University of Florence)

Simon Tindemans (TU Delft - Intelligent Electrical Power Grids)

DOI related publication
https://doi.org/10.23919/PSCC.2018.8443058 Final published version
More Info
expand_more
Publication Year
2018
Language
English
Pages (from-to)
1-7
ISBN (electronic)
978-1-910963-10-4
Event
Downloads counter
238
Collections
Institutional Repository
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

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.

Files

Robustly_Maximal_Utilisation_o... (pdf)
(pdf | 0.649 Mb)
- Embargo expired in 02-03-2019
License info not available