Skip to main content

Restructuring the Electric Enterprise

Simulating the Evolution of the Electric Power Industry with Intelligent Adaptive Agents

  • Chapter
Electricity Pricing in Transition

Part of the book series: Topics in Regulatory Economics and Policy Series ((TREP,volume 42))

Abstract

A model and simulation of the “Electric Enterprise” (taken in the broadest possible sense) have been developed. The model uses autonomous, adaptive agents to represent both the possible industrial components, and the corporate entities that own these components. An open access transmission application and real-time pricing has been implemented. Objectives are: 1) To develop a high-fidelity scenario-free modeling and optimization tool to use for gaining strategic insight into the operation of the deregulated power industry; 2) to show how networks of communicating and cooperating intelligent software agents can be used to adaptively manage complex distributed systems; 3) to investigate how collections of agents (agencies) can be used to buy and sell electricity and participate in the electronic marketplace; and ultimately to create self-optimizing and self-healing capabilities for the electric power grid and the interconnected critical infrastructures.

I exprees my gratitude to the editor of this volume, Dr. Ahmad Faruqui, for his encouragement and contineued interest in this subject. Ialso expreess my gratitude to Dr. Tariq Samad, Dr. Steve Harp, and Dr. Martin Wildberger for many earlier discussions and insightful suggestions during 1998–2000.

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 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover 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

  • Amin, M. 2001. “Toward Self-Healing Energy Infrastructure Systems,” IEEE Computer Applications in Power 14 (no. 14, January): 20–96.

    Article  Google Scholar 

  • Amin, M. and Ballard, D. 2000. “Defining New Markets for Intelligent Agents.” IEEE IT Professional 2 (No. 4, July/August): 29–35.

    Article  Google Scholar 

  • Amin, M. 2000. “National Infrastructures as Complex Interactive Networks,” Chapter 14 in Automation, Control, and Complexity: New Developments and Directions, edited by Samad & Weyrauch. John Wiley and Sons: NY.

    Google Scholar 

  • Bak, P. 1996. How Nature Works: The Science of Self-Organized Criticality. Springer-Verlag: New York, NY.

    Google Scholar 

  • Commercial Practices Working Group (CPWG). 1997. Industry Report to the Federal Energy Regulatory Commission on the Future of OASIS, November 3.

    Google Scholar 

  • Cowan, G.A., D. Pines, and D. Meltzer, (Eds). 1994. Complexity: Metaphors, Models, and Reality. Addison-Wesley: Reading, MA.

    Google Scholar 

  • EPRI. 1999a. “Simulator for Electric Power Industry Agents (SEPIA): Complex Adaptive Strategies,” November 1999, Palo Alto, CA, Report TR-112816

    Google Scholar 

  • EPRI. 1999b. “Prototype Intelligent Software Agents for Trading Electricity: Competitive/Cooperative Power Scheduling in an Electronic Marketplace,” Dec. 1999, Palo Alto, CA, Report TR-113366

    Google Scholar 

  • EPRI. 2000. “E-Commerce Applications and Issues for the Power Industry,” May 2000, Palo Alto, CA, Report TP-114659

    Google Scholar 

  • Friedman, D. 1991. “Evolutionary Games in Economics.” Econometrica 59 (No. 3, May): 637–666.

    Article  Google Scholar 

  • Harp, Steven A., Sergio Brignone, Bruce Wollenberg, and Tariq Samad. 2000. “SEPIA: A Simulator for Electric Power Industry Agents.” IEEE Control Systems 20 (No. 3, August): 53–96.

    Article  Google Scholar 

  • Holland, J. H. 1995. Hidden Order: How Adaptation Builds Complexity. Addison Wesley: Reading, MA.

    Google Scholar 

  • Soros, G. 1995. Soros on Soros: Staying Ahead of the Curve. John Wiley & Sons, Inc: NY, NY.

    Google Scholar 

  • Wildberger, A.M. 1997. “Complex adaptive Systems: Concepts and Power Industry Applications.” IEEE Control Systems 17 (No. 6, December): 77–88.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2002 Springer Science+Business Media New York

About this chapter

Cite this chapter

Amin, M. (2002). Restructuring the Electric Enterprise. In: Faruqui, A., Eakin, B.K. (eds) Electricity Pricing in Transition. Topics in Regulatory Economics and Policy Series, vol 42. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-0833-5_3

Download citation

  • DOI: https://doi.org/10.1007/978-1-4615-0833-5_3

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-5261-7

  • Online ISBN: 978-1-4615-0833-5

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics