Introducing a coloured fluid stochastic Petri net-based methodology for reliability and performance evaluation of small isolated power systems including wind turbines

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Introducing a coloured fluid stochastic Petri net-based methodology for reliability and performance evaluation of small isolated power systems including wind turbines

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A new approach in reliability evaluation of small isolated hybrid power systems, which include wind turbines and conventional generators, based on fluid stochastic Petri net (PN) modelling is presented. A major novelty of the proposed methodology is that a selection of constant time intervals is adopted, instead of assuming continuous dynamics. The proposed analysis presents similar characteristics with simulation methods, with the additional advantages of graphical representation of system's components and attributes. Moreover, emphasis is given on the parameterisation of input data that describes operational and reliability characteristics of the system, so a global investigation of the examined system can be done. In order to import more precise data in the simulation process modelled by the PN, the concept of database arcs is introduced. The evaluation is based on the calculation of system's basic indices related to reliability estimation and energy production. The results obtained verify the flexibility and the capabilities of the proposed methodology.

Inspec keywords: hybrid power systems; Petri nets; power generation reliability; wind turbines

Other keywords: energy production; graphical representation; coloured fluid stochastic Petri net-based methodology; hybrid power systems; reliability estimation; database arcs; power systems reliability; conventional generators; wind turbines

Subjects: Combinatorial mathematics; Reliability; Wind power plants

References

    1. 1)
    2. 2)
      • IEEE: ‘The IEEE reliability test system’ 1996.
    3. 3)
      • Trivedi, K.S., Kulkarni, V.G.: `FSPNs: fluid stochastic Petri nets', 14thInt. Conf. Applications and Theory of Petri Nets, 1993, p. 24–31.
    4. 4)
    5. 5)
      • Available at: http://www.ceere.org/rerl/projects/software/hybrid2/download.html, accessed September 2007.
    6. 6)
    7. 7)
    8. 8)
      • G. Ciardo , D.M. Nicol , S. Trivedi . Discrete-event simulation of fluid stochastic Petri nets. IEEE Trans. Softw. Eng. , 2 , 207 - 217
    9. 9)
    10. 10)
      • Available at: http://www.r-drath.de/VON/von_e.htm, accessed September 2007.
    11. 11)
    12. 12)
      • Available at: http://www.nrel.gov/homer, accessed September 2007.
    13. 13)
      • Salefhar, H., Li, T.: `Stochastic Petri nets for reliability assessment of power generating systems with operating considerations', IEEE Power Engineering Society 1999 Winter Meeting, 1999, p. 459–464.
    14. 14)
    15. 15)
    16. 16)
    17. 17)
      • T. Ackermann . (2005) Wind power in power systems.
    18. 18)
    19. 19)
      • M. Dumitrescu . Stochastic Petri nets architectural modules for power system availability. Proc. Electron. Circuits Syst. , 745 - 748
    20. 20)
      • N.H. Lipman . Overview of wind/diesel systems. Renew. Energy , 595 - 617
    21. 21)
    22. 22)
      • K. Jensen . An introduction to the theoretical aspects of coloured Petri nets. Lect. Notes Comput. Sci. , 230 - 272
    23. 23)
      • R. Billinton , R.N. Allan . (1984) Reliability evaluation of power systems.
    24. 24)
      • Lu, N., Chow, J.H., Descrochers, A.A.: `A multi-layer Petri net model for deregulated electric power systems', Proc. American Control Conf, 2002, p. 513–518.
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