Chance-Constrained Ancillary Service Specification for Heterogeneous Storage Devices

Michael Evans; David Angeli; Goran Strbac; Simon H. Tindemans

doi:10.1109/ISGTEurope.2019.8905723

Chance-Constrained Ancillary Service Specification for Heterogeneous Storage Devices

Michael Evans, David Angeli, Goran Strbac, Simon H. Tindemans

Intelligent Electrical Power Grids

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

3 Citations (Scopus)

34 Downloads (Pure)

Abstract

We present a method to find the maximum magnitude of any supply-shortfall service that an aggregator of energy storage devices is able to sell to a grid operator. This is first demonstrated in deterministic settings, then applied to scenarios in which device availabilities are stochastic. In this case we implement chance constraints on the inability to deliver as promised. We show a significant computational improvement in using our method in place of straightforward scenario simulation. As an extension, we present an approximation to this method which allows the determined fleet capability to be applied to any chosen service, rather than having to re-solve the chance-constrained optimisation each time.

Original language	English
Title of host publication	Proceedings of 2019 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2019
Place of Publication	Danvers
Publisher	IEEE
Pages	1-5
Number of pages	5
ISBN (Electronic)	978-1-5386-8218-0
ISBN (Print)	978-1-5386-8219-7
DOIs	https://doi.org/10.1109/ISGTEurope.2019.8905723
Publication status	Published - 22 May 2019

Publication series

Name	Proceedings of 2019 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2019

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

Energy storage systems
ancillary service
chance-constrained optimisation
optimal control

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/ISGTEurope.2019.8905723

Chance-Constrained_Ancillary_Service_Specification_for_Heterogeneous_Storage_DevicesFinal published version, 1.1 MB

Cite this

Evans, M., Angeli, D., Strbac, G., & Tindemans, S. H. (2019). Chance-Constrained Ancillary Service Specification for Heterogeneous Storage Devices. In Proceedings of 2019 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2019 (pp. 1-5). Article 8905723 (Proceedings of 2019 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2019). IEEE. https://doi.org/10.1109/ISGTEurope.2019.8905723

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title = "Chance-Constrained Ancillary Service Specification for Heterogeneous Storage Devices",

abstract = "We present a method to find the maximum magnitude of any supply-shortfall service that an aggregator of energy storage devices is able to sell to a grid operator. This is first demonstrated in deterministic settings, then applied to scenarios in which device availabilities are stochastic. In this case we implement chance constraints on the inability to deliver as promised. We show a significant computational improvement in using our method in place of straightforward scenario simulation. As an extension, we present an approximation to this method which allows the determined fleet capability to be applied to any chosen service, rather than having to re-solve the chance-constrained optimisation each time.",

keywords = "Energy storage systems, ancillary service, chance-constrained optimisation, optimal control",

author = "Michael Evans and David Angeli and Goran Strbac and Tindemans, {Simon H.}",

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.",

year = "2019",

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Evans, M, Angeli, D, Strbac, G & Tindemans, SH 2019, Chance-Constrained Ancillary Service Specification for Heterogeneous Storage Devices. in Proceedings of 2019 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2019., 8905723, Proceedings of 2019 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2019, IEEE, Danvers, pp. 1-5. https://doi.org/10.1109/ISGTEurope.2019.8905723

Chance-Constrained Ancillary Service Specification for Heterogeneous Storage Devices. / Evans, Michael; Angeli, David; Strbac, Goran et al.
Proceedings of 2019 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2019. Danvers: IEEE, 2019. p. 1-5 8905723 (Proceedings of 2019 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2019).

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

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T1 - Chance-Constrained Ancillary Service Specification for Heterogeneous Storage Devices

AU - Evans, Michael

AU - Angeli, David

AU - Strbac, Goran

AU - Tindemans, Simon H.

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 - 2019/5/22

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N2 - We present a method to find the maximum magnitude of any supply-shortfall service that an aggregator of energy storage devices is able to sell to a grid operator. This is first demonstrated in deterministic settings, then applied to scenarios in which device availabilities are stochastic. In this case we implement chance constraints on the inability to deliver as promised. We show a significant computational improvement in using our method in place of straightforward scenario simulation. As an extension, we present an approximation to this method which allows the determined fleet capability to be applied to any chosen service, rather than having to re-solve the chance-constrained optimisation each time.

AB - We present a method to find the maximum magnitude of any supply-shortfall service that an aggregator of energy storage devices is able to sell to a grid operator. This is first demonstrated in deterministic settings, then applied to scenarios in which device availabilities are stochastic. In this case we implement chance constraints on the inability to deliver as promised. We show a significant computational improvement in using our method in place of straightforward scenario simulation. As an extension, we present an approximation to this method which allows the determined fleet capability to be applied to any chosen service, rather than having to re-solve the chance-constrained optimisation each time.

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Evans M, Angeli D, Strbac G, Tindemans SH. Chance-Constrained Ancillary Service Specification for Heterogeneous Storage Devices. In Proceedings of 2019 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2019. Danvers: IEEE. 2019. p. 1-5. 8905723. (Proceedings of 2019 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2019). doi: 10.1109/ISGTEurope.2019.8905723

Chance-Constrained Ancillary Service Specification for Heterogeneous Storage Devices

Abstract

Publication series

Bibliographical note

Keywords

UN SDGs

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