Cooperatives for demand side management

Ramachandra Kota; Georgios Chalkiadakis; Valentin Robu; Alex Rogers; Nicholas R. Jennings

doi:10.3233/978-1-61499-098-7-969

Cooperatives for demand side management

Ramachandra Kota, Georgios Chalkiadakis, Valentin Robu, Alex Rogers, Nicholas R. Jennings

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

22 Citations (Scopus)

Abstract

We propose a new scheme for efficient demand side management for the Smart Grid. Specifically, we envisage and promote the formation of cooperatives of medium-large consumers and equip them (via our proposed mechanisms) with the capability of regularly participating in the existing electricity markets by providing electricity demand reduction services to the Grid. Based on mechanism design principles, we develop a model for such cooperatives by designing methods for estimating suitable reduction amounts, placing bids in the market and redistributing the obtained revenue amongst the member agents. Our mechanism is such that the member agents have no incentive to show artificial reductions with the aim of increasing their revenues.

Original language	English
Title of host publication	ECAI 2012 - 20th European Conference on Artificial Intelligence, 27-31 August 2012, Montpellier, France - Including Prestigious Applications of Artificial Intelligence (PAIS-2012) System Demonstration
Publisher	IOS Press
Pages	969-974
Number of pages	6
ISBN (Print)	9781614990970
DOIs	https://doi.org/10.3233/978-1-61499-098-7-969
Publication status	Published - 2012
Externally published	Yes
Event	20th European Conference on Artificial Intelligence, ECAI 2012 - Montpellier, France Duration: 27 Aug 2012 → 31 Aug 2012

Publication series

Name	Frontiers in Artificial Intelligence and Applications
Volume	242
ISSN (Print)	0922-6389

Conference

Conference	20th European Conference on Artificial Intelligence, ECAI 2012
Country	France
City	Montpellier
Period	27/08/12 → 31/08/12

Access to Document

10.3233/978-1-61499-098-7-969

Link to publication in Scopus

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Kota, R., Chalkiadakis, G., Robu, V., Rogers, A., & Jennings, N. R. (2012). Cooperatives for demand side management. In ECAI 2012 - 20th European Conference on Artificial Intelligence, 27-31 August 2012, Montpellier, France - Including Prestigious Applications of Artificial Intelligence (PAIS-2012) System Demonstration (pp. 969-974). (Frontiers in Artificial Intelligence and Applications; Vol. 242). IOS Press. https://doi.org/10.3233/978-1-61499-098-7-969

Kota, Ramachandra ; Chalkiadakis, Georgios ; Robu, Valentin ; Rogers, Alex ; Jennings, Nicholas R. / Cooperatives for demand side management. ECAI 2012 - 20th European Conference on Artificial Intelligence, 27-31 August 2012, Montpellier, France - Including Prestigious Applications of Artificial Intelligence (PAIS-2012) System Demonstration. IOS Press, 2012. pp. 969-974 (Frontiers in Artificial Intelligence and Applications).

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abstract = "We propose a new scheme for efficient demand side management for the Smart Grid. Specifically, we envisage and promote the formation of cooperatives of medium-large consumers and equip them (via our proposed mechanisms) with the capability of regularly participating in the existing electricity markets by providing electricity demand reduction services to the Grid. Based on mechanism design principles, we develop a model for such cooperatives by designing methods for estimating suitable reduction amounts, placing bids in the market and redistributing the obtained revenue amongst the member agents. Our mechanism is such that the member agents have no incentive to show artificial reductions with the aim of increasing their revenues.",

author = "Ramachandra Kota and Georgios Chalkiadakis and Valentin Robu and Alex Rogers and Jennings, {Nicholas R.}",

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Kota, R, Chalkiadakis, G, Robu, V, Rogers, A & Jennings, NR 2012, Cooperatives for demand side management. in ECAI 2012 - 20th European Conference on Artificial Intelligence, 27-31 August 2012, Montpellier, France - Including Prestigious Applications of Artificial Intelligence (PAIS-2012) System Demonstration. Frontiers in Artificial Intelligence and Applications, vol. 242, IOS Press, pp. 969-974, 20th European Conference on Artificial Intelligence, ECAI 2012, Montpellier, France, 27/08/12. https://doi.org/10.3233/978-1-61499-098-7-969

Cooperatives for demand side management. / Kota, Ramachandra; Chalkiadakis, Georgios; Robu, Valentin; Rogers, Alex; Jennings, Nicholas R.

ECAI 2012 - 20th European Conference on Artificial Intelligence, 27-31 August 2012, Montpellier, France - Including Prestigious Applications of Artificial Intelligence (PAIS-2012) System Demonstration. IOS Press, 2012. p. 969-974 (Frontiers in Artificial Intelligence and Applications; Vol. 242).

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

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AB - We propose a new scheme for efficient demand side management for the Smart Grid. Specifically, we envisage and promote the formation of cooperatives of medium-large consumers and equip them (via our proposed mechanisms) with the capability of regularly participating in the existing electricity markets by providing electricity demand reduction services to the Grid. Based on mechanism design principles, we develop a model for such cooperatives by designing methods for estimating suitable reduction amounts, placing bids in the market and redistributing the obtained revenue amongst the member agents. Our mechanism is such that the member agents have no incentive to show artificial reductions with the aim of increasing their revenues.

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Kota R, Chalkiadakis G, Robu V, Rogers A, Jennings NR. Cooperatives for demand side management. In ECAI 2012 - 20th European Conference on Artificial Intelligence, 27-31 August 2012, Montpellier, France - Including Prestigious Applications of Artificial Intelligence (PAIS-2012) System Demonstration. IOS Press. 2012. p. 969-974. (Frontiers in Artificial Intelligence and Applications). https://doi.org/10.3233/978-1-61499-098-7-969