The Transactions of The Korean Institute of Electrical Engineers (전기학회논문지)

The Korean Institute of Electrical Engineers (대한전기학회)
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Agent-based Colored Petri Net Modeling of Grid Information Flows : Modeling of Wide Area Protection System

에이전트 기반 컬러 페트리 넷을 이용한 전력 계통의 정보 흐름 모델링: 광역 보호 시스템에의 적용

  • 박병성 (연세대 공대 전기전자공학과) ;
  • 허견 (연세대 공대 전기전자공학과)
  • Received : 2011.02.08
  • Accepted : 2011.05.23
  • Published : 2011.07.01
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Abstract

While most of the existing protection schemes have been designed with local information around individual components, these local schemes are not considered capable of protecting the modern electric power gird with growing complexity. Recent blackouts in North America and Europe have renewed the emphasis on coordinated protection and control actions to avoid systemwide blackouts, utilizing all of the available grid information. Thus, this paper proposes a new methodology, Agent-based Colored Petri Net (ACPN) modeling for systematically representing, modeling and analyzing information flows and interactions among the entities of the electric power grid. The paper demonstrates its efficacy and accuracy by investigating an ACPN model of a wide area protection system for a typical power grid. The proposed modeling and analysis schemes may further provide a framework to help assure reliability and interoperability of diverse smart grid components.

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References

  1. J. C. Tan, P. A. Crossley, D. Kirschen, J. Goody, and J. A. Downes, "An expert system for the back-up protection of a transmission network,"IEEE Trans. Power Del., vol. 15, no. 2, Apr. 2000.
  2. R. Giovanini, K. Hopkinson, D. V. Coury, and J. Thorp, "A primary and backup cooperative protection system based on wide area agents,"IEEE Trans. Power Del., vol. 21, no. 3, pp. 1222-1230, Jul. 2006. https://doi.org/10.1109/TPWRD.2006.876984
  3. Somani. A, Tesfatsion. L, "An Agent-Based Test Bed Study of Wholesale Power Market Performance Measures," Computational Intelligence Magazine, IEEE., vol. 2, pp.56-72, Oct. 2008.
  4. S. J. Lee, B. W. Min, and S.H. Kang, "Adaptive optimal protection of a distribution system using a multi-agent system," in Proc. 8th Inst. Elect. Eng. Int. Conf. Developments in Power System Protection, 2004, pp. 611-614.
  5. G. Jiroveanu and R. K. Boel, "A common architecture for distributed diagnosis and wide-area backup protection," in Proc. 8th Inst. Elect.Eng., Int. Conf. Developments in Power System Protection, 2004, pp.756-759.
  6. I. Nimmo, "Adequately address abnormal situation operations," Chem.Eng. Progr., vol. 91, no. 9, 1995.
  7. V. Venkatasubramanian, R. Rengaswamy, K. Yin, and S. N. Kavuri, "A review of process fault detection and diagnosis part III: Process history based methods," Comput. Chem. Eng., vol. 27, pp. 327-346, 2003. https://doi.org/10.1016/S0098-1354(02)00162-X
  8. Stoustrup and Niemann, "Fault estimation-A standard problem approach," Int. J. Robust Nonlinear Control, vol. 12, pp. 649-673,2002. https://doi.org/10.1002/rnc.716
  9. W. Cong, Z. Pan, and L. Ding, "Study of a high-speed communication network based wide-area protection system," in Proc. 8th Inst. Elect. Eng. Int. Conf. Developments in Power System Protection, 2004, pp.689-692.
  10. T. Murata, "Petri nets: Properties, analysis, and applications," Proc. IEEE, vol. 77, no. 4, pp. 541-580, Apr. 1989. https://doi.org/10.1109/5.24143
  11. X. Tong and X.Wang, "Agent-oriented petri net based modeling of dynamic behavior for wide-area backup protection," in Proc. 8th ACIS Int. Conf. Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, Qingdao, China, 2007, pp. 160-165.
  12. A. Perkusich and J. C. A. d. Figueiredo, "G-nets: A petri net based approach for logical and timing analysis of complex software systems,"J. Syst. Softw., vol. 39, pp. 39-59, 1997. https://doi.org/10.1016/S0164-1212(96)00162-8
  13. W. Han and M. A. Jafari, "Controller synthesis via mapping task sequence to petri nets in multi-agent collaboration applications," in Proc. IEEE Int. Conf. Robotics Autom., 2003, pp. 4312-4317.