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Power System Contingency Ranking using Fuzzy Logic Based Approach

Year 2013, Volume: 1 Issue: 2, 24 - 28, 19.06.2013

Abstract

Voltage stability is a major concern in planning and operations of power systems. It is well known that voltage instability and collapse have led to major system failures. Modern transmission networks are more heavily loaded than ever before to meet the growing demand. One of the major consequences resulted from such a stressed system is voltage collapse or instability. This paper presents fuzzy approach for ranking the contingencies using composite-index based on parallel operated fuzzy inference engine. The Line Flow index (L.F) and bus Voltage Magnitude (VM) of the load buses are expressed in fuzzy set notation. Further, they are evaluated using Fuzzy rules to obtain overall Criticality Index. Contingencies are ranked based on decreasing order of Criticality Index and then provide the comparison of ranking obtained with Fast Voltage Stability Index (FVSI) method.

References

  • Andersson, G., et. al (2005). Causes of the 2003 major grid blackouts in North America and Europe, and recommended means to improve system dynamic performance. IEEE Transactions on Power Systems, 20(4), 1922 - 1928.
  • Pimjaipong, W., Junrussameevilai, T., Maneerat, N. (2005) Blackout Prevention Plan – The Stability, Reliability and Security Enhancement in Thailand Power Grid. IEEE/PES Transmission and Distribution Conference and Exhibition: Asia and Pacific, 1-6.
  • IEEE Committee Report (1990) Voltage Stability of Power Systems: Concepts, Analytical Tools and Industrial Experiences. IEEE Publication No. 90TH0358- 2-PWR, New York.
  • Yu. Q., et. al (2007) Adaptability Evaluation of Transmission Network Planning under Deregulation 42nd International Universities Power Engineering Conference, UPEC 2007, 53-56.
  • Greene, S., Dobson, I. and Alvarado, F. L. (1999) Contingency Ranking for Voltage Collapse via Sensitivities from a Single Nose Curve. IEEE Transactions on Power Systems 14(1), 232-239.
  • Alammari, R. A. (2002) Fuzzy System Applications for Identification of Weak Buses in Power Systems. Arabian Journal for Science and Engineering 27(2B), 165-178.
  • Hong, Y. Y. and Gau, C. H. (1994) Voltage Stability Indicator for Identification of the Weakest Bus Area in Power Systems. IEE Proceedings Generation Transmission Distribution, 144(4), 305-309.
  • Musirin I. and Abdul Rahman, T. K. (2002). Estimating maximum loadability of weak bus identification using FVSI. IEEE Power Engineering Review, 22(11), 50-52.
  • Chen, Y. L. (1996) Weak Bus-Oriented Optimal Multi-objective VAR Planning. IEEE Transactions on Power Systems 11(4), 1885-1890.
  • Song, Y. H. and Wan, H. B. (1997) Kohonen Neural Network based Approach to Voltage Weak Buses/Area Identification IEE Proceedings Generation Transmission Distribution 144(3), 340-344.
  • Abdelaziz, A. Y., Abu-Elnaga, M. M., Elsharkawy, M. A. and Elbahrawy, K. M. (2006). Voltage Stability Assessment of Multi-machine Power Systems using Energy Function and Neural Networks Techniques. Electric Power Components and Systems, 34 (12), 1313-1330.
  • Musirin, I. (2002). Novel Fast Voltage Stability Index (FVSI) for Voltage Stability Analysis in Power Transmission System. Conference on Research and Development Proceedings, Shah Alam, Malaysia.
  • Moghavvemi, M. and Faruque, O. (1998). Real-Time Contingency Evaluation and Ranking Technique. IEE Proceeding on Generation, Transmission and Distribution 145(5), 517-524.
  • Cox, L. (1999) The Fuzzy Systems Handbook, 2nd edition, Academic Press, New York.
  • Terano, T., Asai, K. and Sugeno, M. (1991) Fuzzy System Theory and its Application, Academic Press, San Diego.
  • Shankar, S., Suma, A. P. and Ananthapadmanabha, T. (2009) Fuzzy Approach to Contingency Ranking. International Journal of Recent Trends in Engineering 1(1), 490-494.
Year 2013, Volume: 1 Issue: 2, 24 - 28, 19.06.2013

Abstract

References

  • Andersson, G., et. al (2005). Causes of the 2003 major grid blackouts in North America and Europe, and recommended means to improve system dynamic performance. IEEE Transactions on Power Systems, 20(4), 1922 - 1928.
  • Pimjaipong, W., Junrussameevilai, T., Maneerat, N. (2005) Blackout Prevention Plan – The Stability, Reliability and Security Enhancement in Thailand Power Grid. IEEE/PES Transmission and Distribution Conference and Exhibition: Asia and Pacific, 1-6.
  • IEEE Committee Report (1990) Voltage Stability of Power Systems: Concepts, Analytical Tools and Industrial Experiences. IEEE Publication No. 90TH0358- 2-PWR, New York.
  • Yu. Q., et. al (2007) Adaptability Evaluation of Transmission Network Planning under Deregulation 42nd International Universities Power Engineering Conference, UPEC 2007, 53-56.
  • Greene, S., Dobson, I. and Alvarado, F. L. (1999) Contingency Ranking for Voltage Collapse via Sensitivities from a Single Nose Curve. IEEE Transactions on Power Systems 14(1), 232-239.
  • Alammari, R. A. (2002) Fuzzy System Applications for Identification of Weak Buses in Power Systems. Arabian Journal for Science and Engineering 27(2B), 165-178.
  • Hong, Y. Y. and Gau, C. H. (1994) Voltage Stability Indicator for Identification of the Weakest Bus Area in Power Systems. IEE Proceedings Generation Transmission Distribution, 144(4), 305-309.
  • Musirin I. and Abdul Rahman, T. K. (2002). Estimating maximum loadability of weak bus identification using FVSI. IEEE Power Engineering Review, 22(11), 50-52.
  • Chen, Y. L. (1996) Weak Bus-Oriented Optimal Multi-objective VAR Planning. IEEE Transactions on Power Systems 11(4), 1885-1890.
  • Song, Y. H. and Wan, H. B. (1997) Kohonen Neural Network based Approach to Voltage Weak Buses/Area Identification IEE Proceedings Generation Transmission Distribution 144(3), 340-344.
  • Abdelaziz, A. Y., Abu-Elnaga, M. M., Elsharkawy, M. A. and Elbahrawy, K. M. (2006). Voltage Stability Assessment of Multi-machine Power Systems using Energy Function and Neural Networks Techniques. Electric Power Components and Systems, 34 (12), 1313-1330.
  • Musirin, I. (2002). Novel Fast Voltage Stability Index (FVSI) for Voltage Stability Analysis in Power Transmission System. Conference on Research and Development Proceedings, Shah Alam, Malaysia.
  • Moghavvemi, M. and Faruque, O. (1998). Real-Time Contingency Evaluation and Ranking Technique. IEE Proceeding on Generation, Transmission and Distribution 145(5), 517-524.
  • Cox, L. (1999) The Fuzzy Systems Handbook, 2nd edition, Academic Press, New York.
  • Terano, T., Asai, K. and Sugeno, M. (1991) Fuzzy System Theory and its Application, Academic Press, San Diego.
  • Shankar, S., Suma, A. P. and Ananthapadmanabha, T. (2009) Fuzzy Approach to Contingency Ranking. International Journal of Recent Trends in Engineering 1(1), 490-494.
There are 16 citations in total.

Details

Primary Language English
Journal Section Research Article
Authors

Almoataz Youssef Abdelaziz

Adel Taha This is me

Mahmoud Mostafa This is me

Ahmed Hassan This is me

Publication Date June 19, 2013
Published in Issue Year 2013 Volume: 1 Issue: 2

Cite

APA Abdelaziz, A. Y., Taha, A., Mostafa, M., Hassan, A. (2013). Power System Contingency Ranking using Fuzzy Logic Based Approach. International Journal of Intelligent Systems and Applications in Engineering, 1(2), 24-28.
AMA Abdelaziz AY, Taha A, Mostafa M, Hassan A. Power System Contingency Ranking using Fuzzy Logic Based Approach. International Journal of Intelligent Systems and Applications in Engineering. June 2013;1(2):24-28.
Chicago Abdelaziz, Almoataz Youssef, Adel Taha, Mahmoud Mostafa, and Ahmed Hassan. “Power System Contingency Ranking Using Fuzzy Logic Based Approach”. International Journal of Intelligent Systems and Applications in Engineering 1, no. 2 (June 2013): 24-28.
EndNote Abdelaziz AY, Taha A, Mostafa M, Hassan A (June 1, 2013) Power System Contingency Ranking using Fuzzy Logic Based Approach. International Journal of Intelligent Systems and Applications in Engineering 1 2 24–28.
IEEE A. Y. Abdelaziz, A. Taha, M. Mostafa, and A. Hassan, “Power System Contingency Ranking using Fuzzy Logic Based Approach”, International Journal of Intelligent Systems and Applications in Engineering, vol. 1, no. 2, pp. 24–28, 2013.
ISNAD Abdelaziz, Almoataz Youssef et al. “Power System Contingency Ranking Using Fuzzy Logic Based Approach”. International Journal of Intelligent Systems and Applications in Engineering 1/2 (June 2013), 24-28.
JAMA Abdelaziz AY, Taha A, Mostafa M, Hassan A. Power System Contingency Ranking using Fuzzy Logic Based Approach. International Journal of Intelligent Systems and Applications in Engineering. 2013;1:24–28.
MLA Abdelaziz, Almoataz Youssef et al. “Power System Contingency Ranking Using Fuzzy Logic Based Approach”. International Journal of Intelligent Systems and Applications in Engineering, vol. 1, no. 2, 2013, pp. 24-28.
Vancouver Abdelaziz AY, Taha A, Mostafa M, Hassan A. Power System Contingency Ranking using Fuzzy Logic Based Approach. International Journal of Intelligent Systems and Applications in Engineering. 2013;1(2):24-8.