Skip to main content

Abstract

In competitive energy markets (EMs), customers can freely choose their energy suppliers. The electricity trade can be done in organized markets or using forward bilateral contracts. Currently, there are several simulation tools based on multi-agent techniques that allow modeling, partially or globally, competitive EMs. The existing tools allow simulating negotiation prices and volumes through bilateral contracts, transactions in pool markets, etc. However, these tools have some limitations, mainly due to the complexity of the electric system. In this context, this article focuses on bilateral trading and presents the key features of software agents able to negotiate forward bilateral contracts. Special attention is devoted to demand response in bilateral contracting, notably utility functions and trading strategies for promoting demand response. The article also presents a case study on forward bilateral contracting with demand response: a retailer agent and an industrial customer agent negotiate a 24h-rate tariff.

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 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

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

    Book  Google Scholar 

  2. Lopes, F., Mamede, N., Novais, A.Q., Coelho, H.: A Negotiation Model for Autonomous Computational Agents: Formal Description and Empirical Evaluation. Journal of Intelligent & Fuzzy Systems 12, 195–212 (2002)

    MATH  Google Scholar 

  3. Lopes, F., Mamede, N., Novais, A.Q., Coelho, H.: Negotiation Strategies for Autonomous Computational Agents. In: ECAI 2004, pp. 38–42. IOS Press (2004)

    Google Scholar 

  4. Lopes, F., Wooldridge, M., Novais, A.Q.: Negotiation Among Autonomous Computational Agents: Principles, Analysis and Challenges. Artificial Intelligence Review 29, 1–44 (2008)

    Article  Google Scholar 

  5. Lopes, F., Coelho, H.: Concession Strategies for Negotiating Bilateral Contracts in Multi-agent Electricity Markets. In: IATEM-12 Workshop and DEXA-12 Event, pp. 321–325. IEEE Computer Society Press (2012)

    Google Scholar 

  6. Lopes, F., Ilco, C., Sousa, J.: Bilateral Negotiation in Energy Markets: Strategies for Promoting Demand Response. In: International Conference on the European Energy Market (EEEM 2013). IEEE Computer Society Press (2013)

    Google Scholar 

  7. Lopes, F., Algarvio, H., Ilco, C., Sousa, J.: Agent-Based Simulation of Retail Electricity Markets: Bilateral Contracting with Demand Response. In: IATEM 2013 Workshop and DEXA 2013 Event, pp. 194–198. IEEE Computer Society Press (2013)

    Google Scholar 

  8. Benefits of demand response in electricity markets and recommendations for achieving them. Report to the United States Congress, US Department of Energy (February 2006)

    Google Scholar 

  9. Albadi, M., El-Saadany, E.: A summary of demand response in electricity markets. Electric Power Systems Research 78, 1989–1996 (2008)

    Article  Google Scholar 

  10. Woo, C., Greening, L.: Guest editors’ introduction. Energy 35, 1515–1517 (2010)

    Article  Google Scholar 

  11. Torriti, J., Hassan, M., Leach, M.: Demand response experience in Europe: policies, programmes and implementation. Energy (2009)

    Google Scholar 

  12. Wang, J., Bloyd, C., Hu, Z., Tan, Z.: Demand response in China. Energy 35, 1592–1597 (2010)

    Article  Google Scholar 

  13. Charles River Associates: Primer on demand-side management with an emphasis on price-responsive programs. Report prepared for The World Bank, Washington, DC (2005)

    Google Scholar 

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

    MATH  Google Scholar 

  15. Raiffa, H.: The Art and Science of Negotiation. Harvard University Press, Cambridge (1982)

    Google Scholar 

  16. Bodily, S.: Modern Decision Making. McGraw Hill, New York (1985)

    Google Scholar 

  17. Keeney, R.: Value-Focused Thinking: A Path to Creative Decision Making. Harvard University Press, Cambridge (1992)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Lopes, F., Algarvio, H., Sousa, J. (2014). Bilateral Contracting in Multi-agent Energy Markets with Demand Response. In: Corchado, J.M., et al. Highlights of Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection. PAAMS 2014. Communications in Computer and Information Science, vol 430. Springer, Cham. https://doi.org/10.1007/978-3-319-07767-3_26

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-07767-3_26

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07766-6

  • Online ISBN: 978-3-319-07767-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics