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Reliability Assessment of Composite Power Systems Using Genetic Algorithms

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Computational Intelligence in Reliability Engineering

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References

  1. R. Billinton and R. N. Allan, Reliability Assessment of Large Electric Power System. Boston: Kluwer Academic Publishers, 1988.

    Google Scholar 

  2. R. Billinton, M. Fotuhi-Firuzabad and L. Bertling, “Bibliography on the application of probability methods in power system reliability evaluation, 1996-1999,” IEEE Trans. Power Syst., vol. 16, pp. 595-602, Nov. 2001.

    Article  Google Scholar 

  3. R. N. Allan, R. Billinton, A. M. Breipohl and C. H. Grigg, “Bibliography on the application of probability methods in power system reliability evaluation,” IEEE Trans. Power Syst., vol. 14, pp. 51-57, Feb. 1999.

    Article  Google Scholar 

  4. C. Singh, M. Schwan and W. H. Wellssow, “Reliability in liberalized electric power markets-from analysis to risk management-survey paper,” presented at the Proc. 14th Power Syst. Comput. Conf. (PSCC 2002), Sevilla, Spain, June 2002.

    Google Scholar 

  5. N. Samaan and C. Singh, “Adequacy assessment of power system generation using a modified simple genetic algorithm,” IEEE Trans. Power Syst., vol. 17, pp. 974-981, Nov. 2002

    Article  Google Scholar 

  6. EPRI, “Composite system reliability evaluation methods,” Final Report on Research Project 2473-10, EPRI EL-5178, Jun 1987.

    Google Scholar 

  7. R. Billinton and W. Li, Reliability Assessment of Electric Power Systems Using Monte Carlo Methods. New York: Plenum Press, 1994.

    MATH  Google Scholar 

  8. M.V.F. Pereira and L.M.V.G. Pintoand, “A new computational tool for composite reliability evaluation,” IEEE Trans. Power Syst., vol. 7, pp. 258-264, Feb. 1992.

    Article  Google Scholar 

  9. R. Billinton and W. Li, “Hybrid approach for reliability evaluation of composite generation and transmission systems using Monte Carlo simulation and enumeration technique,” Proc. Inst. Elect. Eng.-Gen. Transm. Dist., vol. 138, no. 3, pp. 233-241, May 1991.

    Google Scholar 

  10. R. Billinton and A. Jonnavithula, “Composite system adequacy assessment using sequential Monte Carlo simulation with variance reduction techniques,” Proc. Inst. Elect. Eng.-Gen. Transm. Dist., vol. 144, no. 1, pp. 1-6, Jan. 1997.

    Google Scholar 

  11. X. Luo, C. Singh and A. D. Patton, “Power system reliability evaluation using learning vector quantization and Monte Carlo simulation,” Electric Power Syst. Res., vol. 66, no. 2, Aug. 2003, pp. 163-169.

    Google Scholar 

  12. K. Nara, “States of the arts of the modern heuristics application to power systems,” presented at the Proc. IEEE PES Winter Meeting, Singapore, vol. 4, pp. 1238-1244, Jan. 2000.

    Google Scholar 

  13. D. E. Goldberg, Genetic Algorithms in Search, Optimization, and Machine Learning. Reading, MA: Addison-Wesley, 1989.

    MATH  Google Scholar 

  14. Z. Michalewicz, Genetic Algorithms+ Data Structures= Evolution Programs. New York: Springer-Verlag, Third edition, 1996.

    MATH  Google Scholar 

  15. M. Gen and R. Cheng, Genetic Algorithms & Engineering Optimization. New York: John Wiley & Sons, 2000.

    Google Scholar 

  16. R. Billinton, S. Kumar, N. Chowdhury, K. Chu, K. Debnath, L. Goel, E. Khan, P. Kos, G. Nourbakhsh and J. Oteng-Adjei, “A reliability test system for educational purposes-basic data,” IEEE Trans. Power Syst., vol. 4, pp. 1238-1244, Aug. 1989.

    Article  Google Scholar 

  17. C. Singh, “ Rules for calculating the time-specific frequency of system failure,” IEEE Trans. Reliability, vol. R-30, no. 4, pp. 364-366, Oct. 1981.

    Article  Google Scholar 

  18. A. C. G. Melo, M. V. F. Pereira and A. M. Leite da Silva, “A conditional probability approach to the calculation of frequency and duration in composite reliability evaluation,” IEEE Trans. Power Syst., vol. 8, pp. 1118-1125, Aug 1993.

    Article  Google Scholar 

  19. Galib genetic algorithm package, written by Matthew Wall at MIT, web sit http://lancet.mit.edu/ga/ [accessed at July 2001]

  20. R Billinton and A. Sankarakrishnan, “A comparison of Monte Carlo simulation techniques for composite power system reliability assessment,” presented at the Proc. IEEE Comm., Power and Comp. Conf. (WESCANEX 95), Winnipeg, Canada, vol. 1, pp. 145-150, May 1995.

    Article  Google Scholar 

  21. C. Singh and Y. Kim, “An efficient technique for reliability analysis of power systems including time dependent sources,” IEEE Trans. Power Syst., vol. 3, pp. 1090-1096, Aug. 1988.

    Article  Google Scholar 

  22. Q. Chen and C. Singh, Generation system reliability evaluation using a cluster based load model," IEEE Trans. Power Syst vol. 4, pp. 102-107, Feb. 1989.

    Article  Google Scholar 

  23. C. Singh and A. Lago-Gonzalez, "Improved algorithms for multi-area reliability evaluation using the decomposition-simulation approach," IEEE Trans. Power Syst., vol. 4, pp. 321- 328, Feb. 1989.

    Article  Google Scholar 

  24. J. A. Hartigan, Clustering Algorithms. New York: John Wiley & Sons, 1975.

    Google Scholar 

  25. IEEE RTS Task Force of APM Subcommittee, "IEEE reliability test system," IEEE PAS, vol. 98, no. 6, pp. 2047-2054, Nov/Dec. 1979.

    Google Scholar 

  26. J. Mitra and C. Singh, "Pruning and simulation for determination of frequency and duration indices of composite power systems," IEEE Trans. Power Syst., vol. 14, pp. 899-905, Aug. 1999.

    Article  Google Scholar 

  27. C. Singh and R. Billinton, System Reliability Modeling and Evaluation. London: Hutchinson Educational, 1977.

    Google Scholar 

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Samaan, N., Singh, C. (2007). Reliability Assessment of Composite Power Systems Using Genetic Algorithms. In: Levitin, G. (eds) Computational Intelligence in Reliability Engineering. Studies in Computational Intelligence, vol 39. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-37368-1_8

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  • DOI: https://doi.org/10.1007/978-3-540-37368-1_8

  • Publisher Name: Springer, Berlin, Heidelberg

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