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COMPOSITE SYSTEM WELL-BEING ANALYSIS USING SEQUENTIAL MONTE CARLO SIMULATION AND FUZZY ALGORITHM

Year 2013, Volume: 13 Issue: 1, 1575 - 1580, 02.09.2013

Abstract

Well-Being reliability indices (Health, Margin and Risk), provide a comprehensive measure to assess the adequacy of composite power systems. Conventional reliability information about power system operation only considered health and risk states, which were not often adequate criteria in both power system planning and operation. Well-being approach for power system generation adequacy evaluation incorporates deterministic criteria in a probabilistic framework, and provides system operating information in addition to risk assessment and can be evaluated using analytical techniques. The most important part of this approach is the algorithm for calculating the probability of the states. Besides, all the power system components, their behavior and their operational conditions such as transmission lines overloads and voltage drops should be considered in the calculations. In this context, this paper proposes a method to calculate more precise well-being indices using Monte Carlo simulation procedure and Fuzzy Logic algorithm while AC load flow is utilized for contingency analysis. The proposed method is examined on the RBTS and the results are presented.

References

  • W. Wangdee, R. Billinton, “Bulk Electric System WellBeing Analysis Using Sequential Monte-Carlo Simulation,” IEEE Trans. Power Syst., vol. 21, no. 1, PP 188-193, Feb 2006.
  • R. Billinton and M. Fotuhi-Firuzabad, “A basic framework for generating system operating health analysis,” IEEE Trans. Power Syst., vol. 9, pp. 1610–1617, Aug. 1994.
  • R. Billinton and G. Lian, “Composite power system health analysis using a security constrained adequacy evaluation procedure,” IEEE Trans. Power Syst., vol. 9, pp. 936–941, May 1994.
  • R. Billinton, R. Karki, “Application of Monte Carlo simulation to generating system well-being analysis,” IEEE Trans. Power Syst., vol. 14, pp. 1172–1177, Aug. 19
  • L. Salvaderi, “Monte Carlo simulation techniques in reliability assessment of composite generation and transmission systems,” IEEE Tutorial Course 90EH03111-PWR, 1990.
  • C. Singh, T. Pravin, and J. Feng, “Convergence characteristics of two Monte Carlo models for reliability evaluation of interconnected power systems,” Elect. Power Syst. Res., vol. 28, no. 1, pp. 1–8, 1993.
  • R. Billinton and R. N. Allan, Reliability Evaluation of Power Systems. New York: Plenum, 1996.
  • L. Goel and C. Feng, “Well-being framework for composite generation and transmission system reliability evaluation,” in Proc. Inst. Elect. Eng. Gener. Trans. Distrib., vol. 146, Sept. 1999, pp. 528–534.
  • A. C. G. Melo, M. V. Pereira, and A. M. Leite da Silva, “A conditional probability approach to the calculation of frequency and duration indices in composite reliability evaluations,” IEEE Trans. Power Syst., vol. 8, pp. 1118– 1125, Aug. 1993
  • A. M. Leite da Silva, L. A. F. Manso, J.C.O. Mello, and R. Billinton, “Pseudo-chronological simulation for composite reliability analysis with time varying loads,” IEEE Trans. Power Syst., vol. 15, pp. 73–80, Feb. 2000.
  • L. Goel and C. Feng, “Well-being framework for composite generation and transmission system reliability evaluation,” in Proc. Inst. Elect. Eng. Gener. Trans. Distrib., vol. 146, Sept. 1999, pp. 528–534.
  • MATLAB, Help for Fuzzy Logic Algorithm, Developed by Zadeh, 1976.
  • R. Billinton, et al., “A reliability test system for educational purposes – basic data”, IEEE Trans. on Power Syst., vol. 4, no. 3, August 1989.
  • Biographies: Bahman Alinejad received the B.Sc. degree in electrical engineering from Power and Water University of Technology (PWUT), Tehran, Iran, and M.S. degree from Sharif University of Technology, Tehran, Iran. He joint Parsian HV Substations Development Company as a head of transmission line department since 2005.
  • Currently, HE is a PHD student at Shahid Beheshti University, Tehran, Iran. His areas of researches include wind-turbine generation, wide area protection and power system simulation. Mahmud Fotuhi-Firuzabad (SM’ 99) received B.Sc. and M.Sc. degrees in Electrical Engineering from Sharif University of Technology and Tehran University in 1986 and 1989 respectively and M.Sc. and Ph.D. Degrees in Electrical Engineering from the University of Saskatchewan, Canada, in 1993 and 1997 respectively. Presently he is a professor and Head of the Department of Electrical Engineering, Sharif University of
  • Technology, Tehran, Iran. Dr. Fotuhi-Firuzabad is a member of center of excellence in power system control and management. He serves as the Editor of the IEEE TRANSACTIONS ON SMART GRID. Masood Parvania (S’ 09) received the B.S. degree in Electrical Engineering from Iran University of Science and Technology (IUST) in 2007, and M.S. degree in Electrical Engineering from Sharif University of Technology in 2009, where he is currently pursuing his Ph.D. degree. His research interests include power system reliability and security assessment, as well as operation and optimization of smart electricity grids.
Year 2013, Volume: 13 Issue: 1, 1575 - 1580, 02.09.2013

Abstract

References

  • W. Wangdee, R. Billinton, “Bulk Electric System WellBeing Analysis Using Sequential Monte-Carlo Simulation,” IEEE Trans. Power Syst., vol. 21, no. 1, PP 188-193, Feb 2006.
  • R. Billinton and M. Fotuhi-Firuzabad, “A basic framework for generating system operating health analysis,” IEEE Trans. Power Syst., vol. 9, pp. 1610–1617, Aug. 1994.
  • R. Billinton and G. Lian, “Composite power system health analysis using a security constrained adequacy evaluation procedure,” IEEE Trans. Power Syst., vol. 9, pp. 936–941, May 1994.
  • R. Billinton, R. Karki, “Application of Monte Carlo simulation to generating system well-being analysis,” IEEE Trans. Power Syst., vol. 14, pp. 1172–1177, Aug. 19
  • L. Salvaderi, “Monte Carlo simulation techniques in reliability assessment of composite generation and transmission systems,” IEEE Tutorial Course 90EH03111-PWR, 1990.
  • C. Singh, T. Pravin, and J. Feng, “Convergence characteristics of two Monte Carlo models for reliability evaluation of interconnected power systems,” Elect. Power Syst. Res., vol. 28, no. 1, pp. 1–8, 1993.
  • R. Billinton and R. N. Allan, Reliability Evaluation of Power Systems. New York: Plenum, 1996.
  • L. Goel and C. Feng, “Well-being framework for composite generation and transmission system reliability evaluation,” in Proc. Inst. Elect. Eng. Gener. Trans. Distrib., vol. 146, Sept. 1999, pp. 528–534.
  • A. C. G. Melo, M. V. Pereira, and A. M. Leite da Silva, “A conditional probability approach to the calculation of frequency and duration indices in composite reliability evaluations,” IEEE Trans. Power Syst., vol. 8, pp. 1118– 1125, Aug. 1993
  • A. M. Leite da Silva, L. A. F. Manso, J.C.O. Mello, and R. Billinton, “Pseudo-chronological simulation for composite reliability analysis with time varying loads,” IEEE Trans. Power Syst., vol. 15, pp. 73–80, Feb. 2000.
  • L. Goel and C. Feng, “Well-being framework for composite generation and transmission system reliability evaluation,” in Proc. Inst. Elect. Eng. Gener. Trans. Distrib., vol. 146, Sept. 1999, pp. 528–534.
  • MATLAB, Help for Fuzzy Logic Algorithm, Developed by Zadeh, 1976.
  • R. Billinton, et al., “A reliability test system for educational purposes – basic data”, IEEE Trans. on Power Syst., vol. 4, no. 3, August 1989.
  • Biographies: Bahman Alinejad received the B.Sc. degree in electrical engineering from Power and Water University of Technology (PWUT), Tehran, Iran, and M.S. degree from Sharif University of Technology, Tehran, Iran. He joint Parsian HV Substations Development Company as a head of transmission line department since 2005.
  • Currently, HE is a PHD student at Shahid Beheshti University, Tehran, Iran. His areas of researches include wind-turbine generation, wide area protection and power system simulation. Mahmud Fotuhi-Firuzabad (SM’ 99) received B.Sc. and M.Sc. degrees in Electrical Engineering from Sharif University of Technology and Tehran University in 1986 and 1989 respectively and M.Sc. and Ph.D. Degrees in Electrical Engineering from the University of Saskatchewan, Canada, in 1993 and 1997 respectively. Presently he is a professor and Head of the Department of Electrical Engineering, Sharif University of
  • Technology, Tehran, Iran. Dr. Fotuhi-Firuzabad is a member of center of excellence in power system control and management. He serves as the Editor of the IEEE TRANSACTIONS ON SMART GRID. Masood Parvania (S’ 09) received the B.S. degree in Electrical Engineering from Iran University of Science and Technology (IUST) in 2007, and M.S. degree in Electrical Engineering from Sharif University of Technology in 2009, where he is currently pursuing his Ph.D. degree. His research interests include power system reliability and security assessment, as well as operation and optimization of smart electricity grids.
There are 16 citations in total.

Details

Primary Language English
Journal Section Articles
Authors

Bahman Alınejad

Mahmud Fotuhı-fıruzabad This is me

Masood Parvanıa This is me

Publication Date September 2, 2013
Published in Issue Year 2013 Volume: 13 Issue: 1

Cite

APA Alınejad, B., Fotuhı-fıruzabad, M., & Parvanıa, M. (2013). COMPOSITE SYSTEM WELL-BEING ANALYSIS USING SEQUENTIAL MONTE CARLO SIMULATION AND FUZZY ALGORITHM. IU-Journal of Electrical & Electronics Engineering, 13(1), 1575-1580.
AMA Alınejad B, Fotuhı-fıruzabad M, Parvanıa M. COMPOSITE SYSTEM WELL-BEING ANALYSIS USING SEQUENTIAL MONTE CARLO SIMULATION AND FUZZY ALGORITHM. IU-Journal of Electrical & Electronics Engineering. September 2013;13(1):1575-1580.
Chicago Alınejad, Bahman, Mahmud Fotuhı-fıruzabad, and Masood Parvanıa. “COMPOSITE SYSTEM WELL-BEING ANALYSIS USING SEQUENTIAL MONTE CARLO SIMULATION AND FUZZY ALGORITHM”. IU-Journal of Electrical & Electronics Engineering 13, no. 1 (September 2013): 1575-80.
EndNote Alınejad B, Fotuhı-fıruzabad M, Parvanıa M (September 1, 2013) COMPOSITE SYSTEM WELL-BEING ANALYSIS USING SEQUENTIAL MONTE CARLO SIMULATION AND FUZZY ALGORITHM. IU-Journal of Electrical & Electronics Engineering 13 1 1575–1580.
IEEE B. Alınejad, M. Fotuhı-fıruzabad, and M. Parvanıa, “COMPOSITE SYSTEM WELL-BEING ANALYSIS USING SEQUENTIAL MONTE CARLO SIMULATION AND FUZZY ALGORITHM”, IU-Journal of Electrical & Electronics Engineering, vol. 13, no. 1, pp. 1575–1580, 2013.
ISNAD Alınejad, Bahman et al. “COMPOSITE SYSTEM WELL-BEING ANALYSIS USING SEQUENTIAL MONTE CARLO SIMULATION AND FUZZY ALGORITHM”. IU-Journal of Electrical & Electronics Engineering 13/1 (September 2013), 1575-1580.
JAMA Alınejad B, Fotuhı-fıruzabad M, Parvanıa M. COMPOSITE SYSTEM WELL-BEING ANALYSIS USING SEQUENTIAL MONTE CARLO SIMULATION AND FUZZY ALGORITHM. IU-Journal of Electrical & Electronics Engineering. 2013;13:1575–1580.
MLA Alınejad, Bahman et al. “COMPOSITE SYSTEM WELL-BEING ANALYSIS USING SEQUENTIAL MONTE CARLO SIMULATION AND FUZZY ALGORITHM”. IU-Journal of Electrical & Electronics Engineering, vol. 13, no. 1, 2013, pp. 1575-80.
Vancouver Alınejad B, Fotuhı-fıruzabad M, Parvanıa M. COMPOSITE SYSTEM WELL-BEING ANALYSIS USING SEQUENTIAL MONTE CARLO SIMULATION AND FUZZY ALGORITHM. IU-Journal of Electrical & Electronics Engineering. 2013;13(1):1575-80.