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Multi-Agent Negotiation Models for Power System Applications

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Autonomous Systems and Intelligent Agents in Power System Control and Operation

Part of the book series: Power Systems ((POWSYS))

Abstract

Motivated by the need to coordinate decisions among competing power system stakeholders, we describe multi-agent negotiation systems to perform negotiated decision-making. The negotiation theory is reviewed. Two multi-agent negotiation models are described. A multi-agent negotiation system is implemented and some illustrative power industry applications are presented.

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References

  1. Wooldridge M (1999) Intelligent Agents. In: Multi-agent Systems: A Modern Approach to Distributed Artificial Intelligence, edited by Weiss G, The MIT Press, Cambridge, MA

    Google Scholar 

  2. Gulliver (1979) Disputes and Negotiations. Academic Press, New York

    Google Scholar 

  3. Chankong V, Haimes Y (1983) Multiobjective Decision Making Theory and Methodology. North-Holland.

    Google Scholar 

  4. Hobbs B, Meier P (2000) Energy decisions and the environment: A guide to the use of multicriteria methods. Kluwer, Boston, MA

    Book  Google Scholar 

  5. Bernoulli D (1954) Expositions of a New Theory of the Measurement of Risk. English translation: Econometrica

    Google Scholar 

  6. Von Neumann J, Morgenstern O (1944) Theory of Games and Economic Behavior. John Wiley, New York

    MATH  Google Scholar 

  7. Keeney R, Raiffa H (1976) Decisions with Multiple Objectives: Preferences and Value Tradeoffs. John Wiley, New York

    Google Scholar 

  8. Fishburn P (1982) The Foundations of Expected Utility. D. Reidel Publishing Company

    Book  MATH  Google Scholar 

  9. Tapan B (1997) Decision-making under uncertainty. St. Martin’s Press, New York

    Google Scholar 

  10. Fishburn P (1988) Nonlinear Preference and Utility Theory. The Johns Hopkins University Press

    Google Scholar 

  11. Ackoff R, Sasieni M (1968) Fundamentals of Operations Research. John Wiley, New York

    MATH  Google Scholar 

  12. Raiffa H (1982) The art and science of negotiation. Harvard University Press, Cambridge, MA

    Google Scholar 

  13. Cross J (1969) The economics of bargaining. Basic Books Inc., New York

    Google Scholar 

  14. Strauss A (1978) Negotiations: Varities, Contexts, Processes, and Social Order. Jossey-Bass Publishers, San Francisco

    Google Scholar 

  15. Bartos O (1974) Process and Outcome of Negotiations. Colombia University Press, New York

    Google Scholar 

  16. Rubenstein A (1982) Perfect equilibrium in a bargaining model. Econometrica 50 (1), pp 97–109

    Article  MathSciNet  Google Scholar 

  17. Kraus S (2001) Strategic Negotiation in Multi-agent Environment. The MIT Press, Cambridge, MA

    Google Scholar 

  18. Rosenschein J, Zlotkin G (1994) Rules of Encounter. The MIT Press, Cambridge, MA

    Google Scholar 

  19. Huhns M, Stephens L (1999) Multi-agent Systems and Societies of Agents. In: Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence, edited by Weiss G, The MIT Press, Cambridge, MA

    Google Scholar 

  20. Holsapple C, Lai H, Whinston A (1996) Implications of Negotiation Theory for Research and Development of Negotiation Support Systems. Journal of Group Decision and Negotiation, vol 6, Issue 3, pp 255–274

    Article  Google Scholar 

  21. Ehtamo H, Hamalainen R (2001) Interactive Multiple-Criteria Methods for reaching Pareto Optimal Agreements in Negotiations. Journal of Group Decision and Negotiation, vol 10, pp 475–491

    Article  Google Scholar 

  22. Kersten G (2001) Modeling Distributive and Inegrative Negotiations. Review and Revised Characterization. Journal of Group Decision and Negotiation, vol 10, pp 493–514

    Article  Google Scholar 

  23. Tajima M, Fraser N (2001) Logrolling Procedure for Multi-Issue Negotiation. Journal of Group Decision and Negotiation, vol 10, pp 217–235

    Article  Google Scholar 

  24. Weigand H, Moor A, Schoop M, Dignum F (2003) B2B Negotiation Support: The Need for a Communication Perspective. Journal of Group Decision and Negotiation, vol 12, pp 3–29

    Article  Google Scholar 

  25. Lomuscio A, Wooldridge M, Jennings N (2003) A Classification Scheme for Negotiation in Electronic Commerce. Journal of Group Decision and Negotiation, vol 12, pp 31–56

    Article  Google Scholar 

  26. Walton R, McKersie R (1965) A Behavioral Theory of Labor Negotiations. McGraw-Hill, New York

    Google Scholar 

  27. Vishwanathan V, Ganugula V, McCalley J, Honavar V (2000) A multi-agent systems approach for managing dynamic information and decisions in competitive power systems. Proc. of the 2000 North American Power Symposium, Waterloo, Canada.

    Google Scholar 

  28. Vishwanathan V, McCalley J, Honavar V (2001) A multi-agent system infrastructure and negotiation framework for electric power systems. Proc. of the IEEE Porto Power Tech Conference, Porto, Portugal

    Google Scholar 

  29. Vishwanathan V (2001) Multi-agent system applications to electric power systems: Negotiation models for automated security-economy decisions. M.S. thesis, Dept. Elec. and Comp. Eng., Iowa State Univ., Ames

    Google Scholar 

  30. http://www.recursionsw.com/products/products.asp

  31. Foundation of Intelligent Physical Agents (FIPA) specifications available at http://www.fipa.org.

  32. Barbuceanu M, Fox MS (1999) COOL: A language for describing coordination in multi-agent domains. In: First International Conference on Multi-agent systems, AAAI Press / MIT Press, pp 17–24

    Google Scholar 

  33. Smith R (1980) The Contract Net Protocol: High Level Communication and Control in a Distributed Problem Solver. IEEE Trans. on Computers, vol C-29, no 12, pp 1104–1113

    Article  Google Scholar 

  34. Smith R, Davis R (1983) Negotiation as a metaphor for distributed problem solving. Artificial Intelligence 20, pp 60–109

    Google Scholar 

  35. Faratin P, Sierra C, Jennings N (1997) Negotiation decision functions for autonomous agents. Int. Journal of Robotics and Autonomous Systems, vol 24, no 3–4, pp 159–182

    Google Scholar 

  36. Hogg LM, Jennings NR (1997) Socially Rational Agents — Some Preliminary Thoughts. Proc 2nd Workshop on Practical Reasoning and Rationality, Manchester, pp 160–162

    Google Scholar 

  37. Hogg LM, Jennings NR (1997) Socially rational agents. Proc. AAAI Fall Symposium on Socially Intelligent Agents. pp 61–63

    Google Scholar 

  38. IEEE reliability test system task force of the application of probability methods subcommittee (1999) The IEEE reliability test system — 1996. IEEE Transactions on Power Systems, vol 14, no 3, pp 1010–1018

    Article  Google Scholar 

  39. Power Systems Engineering Research Center. MATPOWER, Version 2.0. available at http://www.pserc.cornell.edu/matpower/.

  40. Lutris Technologies. InstantDB, version 3.26, www.instantdb.enhydra.org.

    Google Scholar 

  41. Zhang Z, Vishwanathan V, McCalley J (2002) A Multi-agent Security- Economy Decision Support Infrastructure for Deregulated Electric Power Systems. Proc. 7th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), Naples, Italy

    Google Scholar 

  42. Ni M, McCalley J, Vittal V, Greene S, Ten C, Gangula V, Tayyib T (2003) Software Implementation of on-line risk-based security assessment. IEEE Transactions on Power Systems, vol 18, no 1

    Article  Google Scholar 

  43. Sparling B (2001) Transformer Monitoring: Moving Forward from Monitoring to Diagnostics. Transmission and Distribution Conference and Exposition IEEE/PES, vol 2, pp 960 –963

    Google Scholar 

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Authors and Affiliations

  1. Iowa State University, USA

    James D. McCalley, Zhong Zhang, Vijayanand Vishwanathan & Vasant Honavar

Authors
  1. James D. McCalley
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  2. Zhong Zhang
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  3. Vijayanand Vishwanathan
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  4. Vasant Honavar
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© 2003 Springer-Verlag Berlin Heidelberg

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McCalley, J.D., Zhang, Z., Vishwanathan, V., Honavar, V. (2003). Multi-Agent Negotiation Models for Power System Applications. In: Autonomous Systems and Intelligent Agents in Power System Control and Operation. Power Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-05955-5_4

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  • DOI: https://doi.org/10.1007/978-3-662-05955-5_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-07290-1

  • Online ISBN: 978-3-662-05955-5

  • eBook Packages: Springer Book Archive

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