Robustly Maximal Utilisation of Energy-Constrained Distributed Resources

Michael Evans; David Angeli; Simon Tindemans

doi:10.23919/PSCC.2018.8443058

Robustly Maximal Utilisation of Energy-Constrained Distributed Resources

Michael Evans, David Angeli, Simon Tindemans

Intelligent Electrical Power Grids

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

10 Citations (Scopus)

39 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 language	English
Title of host publication	2018 Power Systems Computation Conference (PSCC)
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	1-7
Number of pages	7
ISBN (Electronic)	978-1-910963-10-4
DOIs	https://doi.org/10.23919/PSCC.2018.8443058
Publication status	Published - 11 Jun 2018
Event	20th Power Systems Computation Conference, PSCC 2018 - Dublin, Ireland Duration: 11 Jun 2018 → 15 Jun 2018 http://www.pscc2018.net/

Conference

Conference	20th Power Systems Computation Conference, PSCC 2018
Country/Territory	Ireland
City	Dublin
Period	11/06/18 → 15/06/18
Internet address	http://www.pscc2018.net/

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care

Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

distribution networks
reliability analysis
network topology
Monte Carlo simulations

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10.23919/PSCC.2018.8443058

Robustly_Maximal_Utilisation_of_Energy-Constrained_Distributed_ResourcesFinal published version, 592 KB

Cite this

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title = "Robustly Maximal Utilisation of Energy-Constrained Distributed Resources",

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.",

keywords = "distribution networks, reliability analysis, network topology, Monte Carlo simulations",

author = "Michael Evans and David Angeli and Simon Tindemans",

note = "Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.; 20th Power Systems Computation Conference, PSCC 2018 ; Conference date: 11-06-2018 Through 15-06-2018",

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AU - Angeli, David

AU - Tindemans, Simon

N1 - Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

PY - 2018/6/11

Y1 - 2018/6/11

N2 - 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.

AB - 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.

KW - distribution networks

KW - reliability analysis

KW - network topology

KW - Monte Carlo simulations

U2 - 10.23919/PSCC.2018.8443058

DO - 10.23919/PSCC.2018.8443058

M3 - Conference contribution

SP - 1

EP - 7

BT - 2018 Power Systems Computation Conference (PSCC)

PB - IEEE

CY - Piscataway, NJ

T2 - 20th Power Systems Computation Conference, PSCC 2018

Y2 - 11 June 2018 through 15 June 2018

ER -

Robustly Maximal Utilisation of Energy-Constrained Distributed Resources

Abstract

Conference

Bibliographical note

Keywords

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