Skip to main content

Coalitions of End-Use Customers in Retail Electricity Markets: A Real-World Case Study Involving Five Schools for Children

  • Conference paper
  • First Online:
Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection (PAAMS 2018)

Abstract

The key mechanisms for purchasing and selling electrical energy include electricity pools and bilateral contracts. This article is devoted to bilateral contracting, which is modeled as a negotiation process involving an iterative exchange of offers and counter-offers. It focuses on coalitions of end-use consumers and describes a case study involving five schools for children located in England. The schools decide to ally into a coalition to strengthen their bargaining positions and, hopefully, to obtain better tariffs. To this end, they rely on a coordinator agent, who is defined from the group of five schools, by selecting either the “most powerful” school or the “best negotiator” school. The coordinator takes decisions according to either a “majority” rule, a “consensus” rule, or an “unanimity” rule. The simulations are performed with an agent-based system, called MATREM (for Multi-agent TRading in Electricity Markets). Although preliminary, the results suggest that coalition formation and management is beneficial to end-use customers, since the price agreed in the new forward contracts is more favorable to these agents, particularly when the coordinator is the “best negotiator” agent and considers the “unanimity” decision rule.

H. Algarvio and F. Lopes—This work was supported by “Fundação para a Ciência e Tecnologia” with references UID/CEC/50021/2013 and PD/BD/105863/2014.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    See [12] for a detailed description of the MATREM system and [13] for its classification according to a number of specific dimensions related to both liberalized electricity markets and intelligent agents.

  2. 2.

    http://www.stgeorgesweybridge.com/college/why-st-georges-college.

  3. 3.

    http://www.stgeorgesweybridge.com/junior-school.

  4. 4.

    http://www.ludgrove.net/.

  5. 5.

    http://www.thames-ditton-infant.surrey.sch.uk/.

  6. 6.

    http://www.ashleyschool.org.uk/.

  7. 7.

    http://www.ecodriver.co.uk (accessed on April 2017).

  8. 8.

    Certainly, bargaining power should be modeled by a more complex function. Broadly speaking, bargaining power is the potential to alter the attitudes and behaviors of others that an individual brings to a given negotiation situation (but see, e.g.,. [16]).

References

  1. Shahidehpour, M., Yamin, H., Li, Z.: Market Operations in Electric Power Systems. Wiley, Chichester (2002)

    Book  Google Scholar 

  2. Lopes, F., Coelho, H. (eds.): Electricity Markets with Increasing Levels of Renewable Generation: Structure, Operation, Agent-based Simulation and Emerging Designs. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-74263-2

    Book  Google Scholar 

  3. Kirschen, D., Strbac, G.: Fundamentals of Power System Economics. Wiley, Chichester (2004)

    Book  Google Scholar 

  4. Lopes, F., Coelho, H.: Strategic and Tactical behaviour in automated negotiation. Int. J. Artif. Intell. 4(S10), 35–63 (2010)

    Google Scholar 

  5. Klusch, M., Gerber, A.: Dynamic coalition formation among rational agents. IEEE Intell. Syst. 17(3), 42–47 (2002)

    Article  Google Scholar 

  6. Sánchez-Anguix, V., Julián, V., Botti, V., García-Fornes, A.: Studying the impact of negotiation environments on negotiation teams performance. Inf. Sci. 219, 17–40 (2013)

    Article  MathSciNet  Google Scholar 

  7. Algarvio, H., Lopes, F., Santana, J.: Multi-agent retail energy markets: bilateral contracting and coalitions of end-use customers. In: 12th International Conference on the European Energy Market (EEM 2015), pp. 1–5. IEEE (2015)

    Google Scholar 

  8. Algarvio, H., Lopes, F., Santana, J.: Multi-agent retail energy markets: contract negotiation, customer coalitions and a real-world case study. In: Demazeau, Y., Ito, T., Bajo, J., Escalona, M.J. (eds.) PAAMS 2016. LNCS (LNAI), vol. 9662, pp. 13–23. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-39324-7_2

    Chapter  Google Scholar 

  9. Lopes, F., Sá, J., Santana, J.: Renewable generation, support policies and the merit order effect: a comprehensive overview and the case of wind power in Portugal. In: Lopes, F., Coelho, H. (eds.) Electricity Markets with Increasing Levels of Renewable Generation: Structure, Operation, Agent-based Simulation, and Emerging Designs. SSDC, vol. 144, pp. 227–263. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-74263-2_9

    Chapter  Google Scholar 

  10. Sousa, F., Lopes, F., Santana, J.: Contracts for difference and risk management in multi-agent energy markets. In: Demazeau, Y., Decker, K.S., Bajo Pérez, J., de la Prieta, F. (eds.) PAAMS 2015. LNCS (LNAI), vol. 9086, pp. 155–164. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-18944-4_13

    Chapter  Google Scholar 

  11. Bellifemine, F., Caire, G., Greenwood, D.: Developing Multi-Agent Systems with JADE. Wiley, Chichester (2007)

    Book  Google Scholar 

  12. Lopes, F.: MATREM: an agent-based simulation tool for electricity markets. In: Lopes, F., Coelho, H. (eds.) Electricity Markets with Increasing Levels of Renewable Generation: Structure, Operation, Agent-based Simulation, and Emerging Designs. SSDC, vol. 144, pp. 189–225. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-74263-2_8

    Chapter  Google Scholar 

  13. Lopes, F., Coelho, H.: Electricity markets and intelligent agents part ii: agent architectures and capabilities. In: Lopes, F., Coelho, H. (eds.) Electricity Markets with Increasing Levels of Renewable Generation: Structure, Operation, Agent-based Simulation, and Emerging Designs. SSDC, vol. 144, pp. 49–77. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-74263-2_3

    Chapter  Google Scholar 

  14. Lopes, F., Algarvio, H., Coelho, H.: Bilateral contracting in multi-agent electricity markets: negotiation strategies and a case study. In: International Conference on the European Energy Market (EEM 2013), pp. 1–8. IEEE (2013)

    Google Scholar 

  15. Osborne, M., Rubinstein, A.: Bargaining and Markets. Academic Press, London (1990)

    MATH  Google Scholar 

  16. Lewicki, R., Barry, B., Saunders, D.: Negotiation. McGraw Hill, New York (2010)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hugo Algarvio .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG, part of Springer Nature

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Algarvio, H., Lopes, F., Santana, J. (2018). Coalitions of End-Use Customers in Retail Electricity Markets: A Real-World Case Study Involving Five Schools for Children. In: Bajo, J., et al. Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection. PAAMS 2018. Communications in Computer and Information Science, vol 887. Springer, Cham. https://doi.org/10.1007/978-3-319-94779-2_27

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-94779-2_27

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-94778-5

  • Online ISBN: 978-3-319-94779-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics