Demand side management: A case for disruptive behaviour

Dina Subkhankulova; Artem Baklanov; David McCollum

doi:10.1007/978-3-319-61911-8_5

Demand side management: A case for disruptive behaviour

Dina Subkhankulova, Artem Baklanov, David McCollum

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The UK electricity system is undergoing a significant transformation. Increasing penetration of renewable generation and integration of new consumer technologies (e.g. electric vehicles) challenge the traditional way of balancing electricity in the grid, whereby supply matches demand. Demand-side management (DSM) has been shown to offer a promising solution to the above problem. However, models proposed in literature typically consider an isolated system whereby a single aggregator coordinates homogeneous consumers. As a result potential externalities of DSM are overlooked. This work explores the value of DSM in the context of an interacting electricity system, where utilities compete for cheap electricity in the wholesale market. A stylized model of the UK electricity system is proposed, whereby a traditional supplier competes with a ‘green’ supplier in the wholesale market. The modelling was able to show that with enough dispatchable capacity the traditional supplier was able to benefit from instructing his consumers to increase demand peaks, which had an adverse effect on the system.

Original language	English
Title of host publication	Advanced Computational Methods for Knowledge Engineering - Proceedings of the 5th International Conference on Computer Science, Applied Mathematics and Applications, ICCSAMA 2017
Editors	Ngoc Thanh Nguyen, Nguyen-Thinh Le, Hoai An Le Thi, Van Do Van Do
Publisher	Springer Verlag
Pages	47-59
Number of pages	13
ISBN (Print)	9783319619101
DOIs	https://doi.org/10.1007/978-3-319-61911-8_5
State	Published - 2018
Externally published	Yes
Event	5th International Conference on Computer Science, Applied Mathematics and Applications, ICCSAMA 2017 - Berlin, Germany Duration: Jun 30 2017 → Jul 1 2017

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	629
ISSN (Print)	2194-5357

Conference

Conference	5th International Conference on Computer Science, Applied Mathematics and Applications, ICCSAMA 2017
Country/Territory	Germany
City	Berlin
Period	06/30/17 → 07/1/17

Funding

Part of the research was developed in the Young Scientists Summer Program at the International Institute for Systems Analysis, Laxenburg (Austria) with financial support from the United Kingdoms National Member Organization.

Keywords

Competing utilities
Demand side management
UK electricity system

Access to Document

10.1007/978-3-319-61911-8_5

Cite this

Subkhankulova, D., Baklanov, A., & McCollum, D. (2018). Demand side management: A case for disruptive behaviour. In N. T. Nguyen, N.-T. Le, H. A. Le Thi, & V. D. Van Do (Eds.), Advanced Computational Methods for Knowledge Engineering - Proceedings of the 5th International Conference on Computer Science, Applied Mathematics and Applications, ICCSAMA 2017 (pp. 47-59). (Advances in Intelligent Systems and Computing; Vol. 629). Springer Verlag. https://doi.org/10.1007/978-3-319-61911-8_5

Subkhankulova, Dina ; Baklanov, Artem ; McCollum, David. / Demand side management : A case for disruptive behaviour. Advanced Computational Methods for Knowledge Engineering - Proceedings of the 5th International Conference on Computer Science, Applied Mathematics and Applications, ICCSAMA 2017. editor / Ngoc Thanh Nguyen ; Nguyen-Thinh Le ; Hoai An Le Thi ; Van Do Van Do. Springer Verlag, 2018. pp. 47-59 (Advances in Intelligent Systems and Computing).

@inproceedings{c070f71943e240d6af0f307dd430d2ad,

title = "Demand side management: A case for disruptive behaviour",

abstract = "The UK electricity system is undergoing a significant transformation. Increasing penetration of renewable generation and integration of new consumer technologies (e.g. electric vehicles) challenge the traditional way of balancing electricity in the grid, whereby supply matches demand. Demand-side management (DSM) has been shown to offer a promising solution to the above problem. However, models proposed in literature typically consider an isolated system whereby a single aggregator coordinates homogeneous consumers. As a result potential externalities of DSM are overlooked. This work explores the value of DSM in the context of an interacting electricity system, where utilities compete for cheap electricity in the wholesale market. A stylized model of the UK electricity system is proposed, whereby a traditional supplier competes with a {\textquoteleft}green{\textquoteright} supplier in the wholesale market. The modelling was able to show that with enough dispatchable capacity the traditional supplier was able to benefit from instructing his consumers to increase demand peaks, which had an adverse effect on the system.",

keywords = "Competing utilities, Demand side management, UK electricity system",

author = "Dina Subkhankulova and Artem Baklanov and David McCollum",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2018.; 5th International Conference on Computer Science, Applied Mathematics and Applications, ICCSAMA 2017 ; Conference date: 30-06-2017 Through 01-07-2017",

year = "2018",

doi = "10.1007/978-3-319-61911-8_5",

language = "English",

isbn = "9783319619101",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer Verlag",

pages = "47--59",

editor = "Nguyen, {Ngoc Thanh} and Nguyen-Thinh Le and {Le Thi}, {Hoai An} and {Van Do}, {Van Do}",

booktitle = "Advanced Computational Methods for Knowledge Engineering - Proceedings of the 5th International Conference on Computer Science, Applied Mathematics and Applications, ICCSAMA 2017",

}

Subkhankulova, D, Baklanov, A & McCollum, D 2018, Demand side management: A case for disruptive behaviour. in NT Nguyen, N-T Le, HA Le Thi & VD Van Do (eds), Advanced Computational Methods for Knowledge Engineering - Proceedings of the 5th International Conference on Computer Science, Applied Mathematics and Applications, ICCSAMA 2017. Advances in Intelligent Systems and Computing, vol. 629, Springer Verlag, pp. 47-59, 5th International Conference on Computer Science, Applied Mathematics and Applications, ICCSAMA 2017, Berlin, Germany, 06/30/17. https://doi.org/10.1007/978-3-319-61911-8_5

Demand side management: A case for disruptive behaviour. / Subkhankulova, Dina; Baklanov, Artem; McCollum, David.
Advanced Computational Methods for Knowledge Engineering - Proceedings of the 5th International Conference on Computer Science, Applied Mathematics and Applications, ICCSAMA 2017. ed. / Ngoc Thanh Nguyen; Nguyen-Thinh Le; Hoai An Le Thi; Van Do Van Do. Springer Verlag, 2018. p. 47-59 (Advances in Intelligent Systems and Computing; Vol. 629).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Demand side management

T2 - 5th International Conference on Computer Science, Applied Mathematics and Applications, ICCSAMA 2017

AU - Subkhankulova, Dina

AU - Baklanov, Artem

AU - McCollum, David

N1 - Publisher Copyright: © Springer International Publishing AG 2018.

PY - 2018

Y1 - 2018

N2 - The UK electricity system is undergoing a significant transformation. Increasing penetration of renewable generation and integration of new consumer technologies (e.g. electric vehicles) challenge the traditional way of balancing electricity in the grid, whereby supply matches demand. Demand-side management (DSM) has been shown to offer a promising solution to the above problem. However, models proposed in literature typically consider an isolated system whereby a single aggregator coordinates homogeneous consumers. As a result potential externalities of DSM are overlooked. This work explores the value of DSM in the context of an interacting electricity system, where utilities compete for cheap electricity in the wholesale market. A stylized model of the UK electricity system is proposed, whereby a traditional supplier competes with a ‘green’ supplier in the wholesale market. The modelling was able to show that with enough dispatchable capacity the traditional supplier was able to benefit from instructing his consumers to increase demand peaks, which had an adverse effect on the system.

AB - The UK electricity system is undergoing a significant transformation. Increasing penetration of renewable generation and integration of new consumer technologies (e.g. electric vehicles) challenge the traditional way of balancing electricity in the grid, whereby supply matches demand. Demand-side management (DSM) has been shown to offer a promising solution to the above problem. However, models proposed in literature typically consider an isolated system whereby a single aggregator coordinates homogeneous consumers. As a result potential externalities of DSM are overlooked. This work explores the value of DSM in the context of an interacting electricity system, where utilities compete for cheap electricity in the wholesale market. A stylized model of the UK electricity system is proposed, whereby a traditional supplier competes with a ‘green’ supplier in the wholesale market. The modelling was able to show that with enough dispatchable capacity the traditional supplier was able to benefit from instructing his consumers to increase demand peaks, which had an adverse effect on the system.

KW - Competing utilities

KW - Demand side management

KW - UK electricity system

UR - http://www.scopus.com/inward/record.url?scp=85025117769&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-61911-8_5

DO - 10.1007/978-3-319-61911-8_5

M3 - Conference contribution

AN - SCOPUS:85025117769

SN - 9783319619101

T3 - Advances in Intelligent Systems and Computing

SP - 47

EP - 59

BT - Advanced Computational Methods for Knowledge Engineering - Proceedings of the 5th International Conference on Computer Science, Applied Mathematics and Applications, ICCSAMA 2017

A2 - Nguyen, Ngoc Thanh

A2 - Le, Nguyen-Thinh

A2 - Le Thi, Hoai An

A2 - Van Do, Van Do

PB - Springer Verlag

Y2 - 30 June 2017 through 1 July 2017

ER -

Subkhankulova D, Baklanov A, McCollum D. Demand side management: A case for disruptive behaviour. In Nguyen NT, Le NT, Le Thi HA, Van Do VD, editors, Advanced Computational Methods for Knowledge Engineering - Proceedings of the 5th International Conference on Computer Science, Applied Mathematics and Applications, ICCSAMA 2017. Springer Verlag. 2018. p. 47-59. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-319-61911-8_5

Demand side management: A case for disruptive behaviour

Abstract

Publication series

Conference

Funding

Keywords

Access to Document

Other files and links

Fingerprint

Cite this