Adaptive game-based agent negotiation in deregulated energy markets

Nicola Capodieci*, Giacomo Cabri, Giuliano Andrea Pagani, Marco Aiello

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

15 Citations (Scopus)

Abstract

In the emerging deregulated energy paradigm enabled by the Smart Grid, energy provisioning will change drastically. Energy contracts will be negotiated between a potential multitude of parties at high frequency (e.g., several times per day) based on local needs and micro-generation production facilities. In this context, this paper presents an agent-based approach to manage negotiation among the different parties. The goal of the presented work is to propose adaptive negotiation strategies for trading energy in a deregulated market. In particular, we provide strategies derived from game theory, in order to optimize energy production and supply costs by means of negotiation and adaptation. The novelty lies in the adaptation of the class of minority and stochastic games to the energy trading problem in order to model the strategy of the various parties involved. The paper presents also simulation results of a scenario with a large number of energy buyers, a small set of prosumers (energy consumers and producers using renewable micro-generation facilities) and a few large-scale traditional electricity suppliers.

Original languageEnglish
Title of host publicationProceedings of the 2012 International Conference on Collaboration Technologies and Systems
EditorsWaleed W. Smari, Geoffrey C. Fox, Li Bai
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages300-307
Number of pages8
ISBN (Electronic)9781467313827, 9781467313803
ISBN (Print)9781467313810
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event2012 13th International Conference on Collaboration Technologies and Systems, CTS 2012 - Denver, CO, United States
Duration: 21 May 201225 May 2012

Other

Other2012 13th International Conference on Collaboration Technologies and Systems, CTS 2012
CountryUnited States
CityDenver, CO
Period21/05/1225/05/12

Keywords

  • Multi-Agent Systems
  • Energy
  • Market
  • Adaptation

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