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Robustly Maximal Utilisation of Energy-Constrained Distributed Resources

descriptionPublicationkeyboard_double_arrow_right Conference object , Article , Preprint , Other literature type 01 Jun 2018Embargo end date: 01 Jan 2017 Netherlands, United Kingdom Publisher:IEEEJournal:2018 Power Systems Computation Conference (PSCC)

Authors: Evans, Michael (author); Angeli, David (author); Tindemans, Simon H. (author);

doi: 10.23919/pscc.2018.8443058 , 10.48550/arxiv.1710.06302

arXiv: http://arxiv.org/abs/1710.06302 , 1710.06302

Robustly Maximal Utilisation of Energy-Constrained Distributed Resources

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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.

Accepted for publication to the 2018 Power Systems Computation Conference (PSCC)

Countries

Netherlands, United Kingdom

Related Organizations

University College London / Department of Electronic and Electrical Engineering
United Kingdom
Delft University of Technology
Netherlands
Imperial College London
United Kingdom
Università degli studi di Salerno
Italy
University College London / Department of Electronic and Electrical Engineering
United Kingdom

Keywords

Systems and Control (eess.SY), cs.SY, Electrical Engineering and Systems Science - Systems and Control, network topology, Monte Carlo simulations, distribution networks, Optimization and Control (math.OC), FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, reliability analysis, Mathematics - Optimization and Control

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	12
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%