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Agent-Based Robust Frequency Regulation

Chapter
Part of the Power Electronics and Power Systems book series (PEPS)

As mentioned in the previous chapters, serious frequency deviations can directly impact on power system operation, system reliability and efficiency. Frequency changes in large-scale power systems are a direct result of the imbalance between the electrical load and the power supplied by system connected generators [1].

In a deregulated environment, load–frequency control (LFC), as an ancillary service, plays a fundamental role in supporting power exchanges and providing better conditions for system reliability and electricity trading. In the new environment, generation companies (Gencos) submit their ramp rates (Megawatts per minute) and bids to the market operator. After a bidding evaluation, those Gencos selected to provide the regulation service must perform their functions according to the ramp rates approved by the responsible organization.

Recently, several scenarios have been proposed to adapt the well-known conventional LFC scheme to the changing environment of power system...

Keywords

Control Area Load Demand Static Output Feedback Load Disturbance Participation Factor 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Jaleeli, N. Ewart D. N. Fink, L. H. 1992.Understanding automatic generation control, IEEE Trans. Power Syst., 7, (3)1106–1112,CrossRefGoogle Scholar
  2. 2.
    Ibraheem, Kumar P. Kothari, P. 2005.Recent philosophies of automatic generation control strategies in power systems, IEEE Trans. Power Syst., 20, (1)346–357,CrossRefGoogle Scholar
  3. 3.
    Kumar, J. Hoe N. K. Sheble, G. B. 1997.AGC simulator for price-based operation Part 1: A model, IEEE Trans. Power Syst., 2, (12)527–532,CrossRefGoogle Scholar
  4. 4.
    Donde, V. Pai M. A. Hiskens, I. A. 2001.Simulation and optimization in an AGC system after deregulation, IEEE Trans. Power Syst., 3, (16)481–489,CrossRefGoogle Scholar
  5. 5.
    Bevrani, H. Mitani Y. Tsuji, K. 2004.Robust AGC: Traditional structure versus restructured scheme, Trans Electr. Eng. Jpn, 124, (2)751–761,Google Scholar
  6. 6.
    Delfino, B. Fornari F. Massucco, S. 2002.Load–frequency control and inadvertent interchange evaluation in restructured power systems, IEE Proc. Gener. Transm. Distrib., 5, (149)607–614,CrossRefGoogle Scholar
  7. 7.
    McArthur, S. D. J. Davidson, E. M. Catterson, V. M. Dimeas, A. L. Hatziargyriou, N. D. Ponci F. Funabashi, T. 2007.Multi-agent systems for power engineering applications – Part I: Concepts, applications and technical challenges, IEEE Trans. Power Syst., 22, (4)1743–1752,CrossRefGoogle Scholar
  8. 8.
    McArthur, S. D. J. Davidson, E. M. Catterson, V. M. Dimeas, A. L. Hatziargyriou, N. D. Ponci F. Funabashi, T. 2007.Multi-agent systems for power engineering applications – Part II: Technologies, standards and tools for multi-agent systems, IEEE Trans. Power Syst., 22, (4)1753–1759,CrossRefGoogle Scholar
  9. 9.
    NEMMCO, FCAS Constraints, NEMMCO, 2006. [Online]. Available: http://www.nemmco.com.au/ancillary_services/160-0272.pdf.
  10. 10.
    Anderson P. M. Mirheydar, M. 1990.A low-order system frequency response model, IEEE Trans. Power Syst., 5, (3)720–729,CrossRefGoogle Scholar
  11. 11.
    Anderson P. M. Fouad, A. A. 1994.Power System Control and Stability. IEEE, Piscataway, NJ:Google Scholar
  12. 12.
    Sauer P. W. Pai, M. A. 2006.Power System Dynamics and Stability. Stipes, Champaign, IL:Google Scholar
  13. 13.
    Padiyar, K. R. 1999.Power Systems Dynamics: Stability and Control. Wiley, New York, NY:Google Scholar
  14. 14.
    Kundur, P. 1994.Power System Stability and Control. McGraw-Hill, Englewood Cliffs, NJ:Google Scholar
  15. 15.
    Thorp, J. S. Wang, X. Hopkinson, K. M. et al. 2003.Agent technology applied to the protection of power systems, Rehtanz, ed., C. Autonomous Systems and Intelligent Agents in Power System Control and Operation, Springer, Berlin: pp. 113–154,Google Scholar
  16. 16.
    Bakken B. H. Uhlen: K. 2001.Market based AGC with online bidding of regulating reserves, In Proceedings of IEEE PES Summer Meeting, vol. 2, pp. 848–853,Google Scholar
  17. 17.
    Julian V. Botti, V. 2004.Developing real-time multi-agent systems, Integrated Comput-Aided Eng., 11, (2)135–149,Google Scholar
  18. 18.
    Foundation for Intelligent Physical Agents (FIPA), Agent Management Specification, 2002. [Online]. Available: http://www.fipa.org/specs/fipa00023/SC00023J.html.
  19. 19.
    Bhowmik, S. Tomosovic K. Bose, A. 2004.Communication models for third party load frequency control, IEEE Trans. Power Syst., 19, (1)543–548,CrossRefGoogle Scholar
  20. 20.
    Yu X. Tomosovic, K. 2004.Application of linear matrix inequalities for load frequency control with communication delays, IEEE Trans. Power Syst., 19, (3)1508–1515,CrossRefGoogle Scholar
  21. 21.
    Wood A. J. Wollenberg, B. F. 1984.Power Generation Operation and Control. Wiley, New York:Google Scholar
  22. 22.
    H. Bevrani and T. Hiyama, A control strategy for LFC design with communication delays, In Proceedings of the Seventh International Power Engineering Conference (IPEC), Singapore, 2005.Google Scholar
  23. 23.
    Bevrani, H. Mitani Y. Tsuji, K. 2004.Robust decentralized load–frequency control using an iterative linear matrix inequalities algorithm, IEE Proc. Gener. Transm. Distrib., 150, (3)347–354,CrossRefGoogle Scholar

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© Springer Science+Business Media, LLC 2009

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