Load management through agent based coordination of flexible electricity consumers

Anders Clausen*, Yves Demazeau, Bo Nørregaard Jørgensen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

Demand Response (DR) offers a cost-effective and carbonfriendly way of performing load balancing. DR describes a change in the electricity consumption of flexible consumers in response to the supply situation. In DR, flexible consumers may perform their own load balancing through load management (LM) mechanisms. However, the individual amount of load balancing capacity exhibited by the majority of flexible consumers is limited and as a result, coordinated LM of several flexible electricity consumers is needed in order to replace existing conventional fossil based load balancing services. In this paper, we propose an approach to perform such coordination through a Virtual Power Plant (VPP)[1]. We represent flexible electricity consumers as software agents and we solve the coordination problem through multi-objective multi-issue optimization using a mediator-based negotiation mechanism. We illustrate how we can coordinate flexible consumers through a VPP in response to external events simulating the need for load balancing services.

Original languageEnglish
Title of host publicationAdvances in Practical Applications of Agents, Multi-Agent Systems, and Sustainability: The PAAMS Collection : 13th International Conference, PAAMS 2015, Salamanca, Spain, June 3-4, 2015, Proceedings
EditorsYves Demazeau, Keith S. Decker, Javier Bajo Pérez, Fernando de la Prieta
PublisherSpringer
Publication date1. Jan 2015
Pages27-39
ISBN (Print)978-3-319-18943-7
ISBN (Electronic)978-3-319-18944-4
DOIs
Publication statusPublished - 1. Jan 2015
Event13th International Conference on Practical Applications of Agents, Multi-Agent Systems and Sustainability, PAAMS 2015 - Salamanca, Spain
Duration: 3. Jun 20154. Jun 2015

Conference

Conference13th International Conference on Practical Applications of Agents, Multi-Agent Systems and Sustainability, PAAMS 2015
CountrySpain
CitySalamanca
Period03/06/201504/06/2015
SeriesLecture Notes in Computer Science
Volume9086
ISSN0302-9743

Fingerprint

Resource allocation
Electricity
Power plants
Software agents
Costs

Keywords

  • Demand response
  • Distributed coordination
  • Load balancing
  • Load management
  • Multi-agent systems
  • Virtual power plant

Cite this

Clausen, A., Demazeau, Y., & Jørgensen, B. N. (2015). Load management through agent based coordination of flexible electricity consumers. In Y. Demazeau, K. S. Decker, J. B. Pérez, & F. de la Prieta (Eds.), Advances in Practical Applications of Agents, Multi-Agent Systems, and Sustainability: The PAAMS Collection: 13th International Conference, PAAMS 2015, Salamanca, Spain, June 3-4, 2015, Proceedings (pp. 27-39). Springer. Lecture Notes in Computer Science, Vol.. 9086 https://doi.org/10.1007/978-3-319-18944-4_3
Clausen, Anders ; Demazeau, Yves ; Jørgensen, Bo Nørregaard. / Load management through agent based coordination of flexible electricity consumers. Advances in Practical Applications of Agents, Multi-Agent Systems, and Sustainability: The PAAMS Collection: 13th International Conference, PAAMS 2015, Salamanca, Spain, June 3-4, 2015, Proceedings. editor / Yves Demazeau ; Keith S. Decker ; Javier Bajo Pérez ; Fernando de la Prieta. Springer, 2015. pp. 27-39 (Lecture Notes in Computer Science, Vol. 9086).
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abstract = "Demand Response (DR) offers a cost-effective and carbonfriendly way of performing load balancing. DR describes a change in the electricity consumption of flexible consumers in response to the supply situation. In DR, flexible consumers may perform their own load balancing through load management (LM) mechanisms. However, the individual amount of load balancing capacity exhibited by the majority of flexible consumers is limited and as a result, coordinated LM of several flexible electricity consumers is needed in order to replace existing conventional fossil based load balancing services. In this paper, we propose an approach to perform such coordination through a Virtual Power Plant (VPP)[1]. We represent flexible electricity consumers as software agents and we solve the coordination problem through multi-objective multi-issue optimization using a mediator-based negotiation mechanism. We illustrate how we can coordinate flexible consumers through a VPP in response to external events simulating the need for load balancing services.",
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Clausen, A, Demazeau, Y & Jørgensen, BN 2015, Load management through agent based coordination of flexible electricity consumers. in Y Demazeau, KS Decker, JB Pérez & F de la Prieta (eds), Advances in Practical Applications of Agents, Multi-Agent Systems, and Sustainability: The PAAMS Collection: 13th International Conference, PAAMS 2015, Salamanca, Spain, June 3-4, 2015, Proceedings. Springer, Lecture Notes in Computer Science, vol. 9086, pp. 27-39, 13th International Conference on Practical Applications of Agents, Multi-Agent Systems and Sustainability, PAAMS 2015, Salamanca, Spain, 03/06/2015. https://doi.org/10.1007/978-3-319-18944-4_3

Load management through agent based coordination of flexible electricity consumers. / Clausen, Anders; Demazeau, Yves; Jørgensen, Bo Nørregaard.

Advances in Practical Applications of Agents, Multi-Agent Systems, and Sustainability: The PAAMS Collection: 13th International Conference, PAAMS 2015, Salamanca, Spain, June 3-4, 2015, Proceedings. ed. / Yves Demazeau; Keith S. Decker; Javier Bajo Pérez; Fernando de la Prieta. Springer, 2015. p. 27-39 (Lecture Notes in Computer Science, Vol. 9086).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

TY - GEN

T1 - Load management through agent based coordination of flexible electricity consumers

AU - Clausen, Anders

AU - Demazeau, Yves

AU - Jørgensen, Bo Nørregaard

PY - 2015/1/1

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N2 - Demand Response (DR) offers a cost-effective and carbonfriendly way of performing load balancing. DR describes a change in the electricity consumption of flexible consumers in response to the supply situation. In DR, flexible consumers may perform their own load balancing through load management (LM) mechanisms. However, the individual amount of load balancing capacity exhibited by the majority of flexible consumers is limited and as a result, coordinated LM of several flexible electricity consumers is needed in order to replace existing conventional fossil based load balancing services. In this paper, we propose an approach to perform such coordination through a Virtual Power Plant (VPP)[1]. We represent flexible electricity consumers as software agents and we solve the coordination problem through multi-objective multi-issue optimization using a mediator-based negotiation mechanism. We illustrate how we can coordinate flexible consumers through a VPP in response to external events simulating the need for load balancing services.

AB - Demand Response (DR) offers a cost-effective and carbonfriendly way of performing load balancing. DR describes a change in the electricity consumption of flexible consumers in response to the supply situation. In DR, flexible consumers may perform their own load balancing through load management (LM) mechanisms. However, the individual amount of load balancing capacity exhibited by the majority of flexible consumers is limited and as a result, coordinated LM of several flexible electricity consumers is needed in order to replace existing conventional fossil based load balancing services. In this paper, we propose an approach to perform such coordination through a Virtual Power Plant (VPP)[1]. We represent flexible electricity consumers as software agents and we solve the coordination problem through multi-objective multi-issue optimization using a mediator-based negotiation mechanism. We illustrate how we can coordinate flexible consumers through a VPP in response to external events simulating the need for load balancing services.

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Clausen A, Demazeau Y, Jørgensen BN. Load management through agent based coordination of flexible electricity consumers. In Demazeau Y, Decker KS, Pérez JB, de la Prieta F, editors, Advances in Practical Applications of Agents, Multi-Agent Systems, and Sustainability: The PAAMS Collection: 13th International Conference, PAAMS 2015, Salamanca, Spain, June 3-4, 2015, Proceedings. Springer. 2015. p. 27-39. (Lecture Notes in Computer Science, Vol. 9086). https://doi.org/10.1007/978-3-319-18944-4_3