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Application of Angle-Modulated Particle Swarm Optimization Technique in Power System Controlled Separation WAP

Year 2014, Volume: 2 Issue: 3, 51 - 57, 01.07.2014
https://doi.org/10.18201/ijisae.59861

Abstract

 One of the recommended preventive plans against the wide area disturbances is WAP, Wide Area Protection, through controlled system splitting or separation. In this paper, authors are proposing three simple algorithms that are intended to be operating online, analyze data from wide-area PMUs placed in different parts of the grid, process the system state and lines’ status and issue disconnecting actions to certain lines in the grid to form islands with minimum imbalances of power between generation and loads. First a simple approach is introduced which performs an extensive search for proper splitting strategies. The authors then present modified approaches which could make the whole system act within much shorter times. All the presented algorithms are analyzed and comments are made on ways to enhance their performances. This will emphasize on how such WAP systems would be designed and developed and if necessary tailored to fit specific systems or applications.

References

  • Q. Zhao, K. Sun, D. Zheng, J. Ma and Q. Lu, “A study of system splitting strategies for island operation of power system: A two-phase method based on OBDDs” IEEE Transactions on Power Systems, Volume 18, no.4, November 2003.
  • F. M. Elkady and A. Y. Abdelaziz, “Voltage stability assessment of electrical power systems using artificial neural networks,” Journal of Engineering and Applied Science, Faculty of Engineering, Cairo University, Vol. 48, No. 4, pp. 727–743, August 2001.
  • A. Y. Abdelaziz, M. M. Abu-Elnaga, M. A. Elsharkawy and K. M. Elbahrawy, ‘Voltage Stability Assessment of Multi-machine Power Systems using Energy Function and Neural Networks Techniques’, Electric Power Components and Systems Journal, Vol. 34, No. 12, December 2006, pp. 1313-1330.
  • P. Kundur, Power System Stability and Control. 1994.
  • Kai Sun, Kyeon Hur and Pei Zhang, “A new unified scheme for controlled power system separation using synchronized phasor measurements” IEEE Trans Power Systems, vol. 26 , pp. 1544-1554, 2011.
  • Kai Sun, Qianchuan Zhao, Da-Zhong Zheng, Jin Ma and Qiang Lu, “A two-phase method based on OBDD for searching for splitting strategies of large-scale power systems” International Conference on Power System Technology, vol. 2 , pp. 834-838, 2002.
  • Haibo You, Vijay Vittak, Xiaoming Wang, “Slow Coherency-based islanding” IEEE Trans Power Systems, vol. 19, pp. 483-491, 2004.
  • Song Honglei, Wu Junyong and Wu Linfeng, “Controlled Islanding Based on Slow-coherency and KWP Theory” Innovative Smart Grid Technologies - Asia (ISGT Asia), IEEE, 2012.
  • James Kennedy and Russel Eberhart, “Particle Swarm Optimization” IEEE International Conference Proceedings on Neural Networks, 1995.
  • A. Y. Abdelaziz, S. F. Mekhamer, M. A. L. Badr, F. M. Mohammed and E.F. El-Saadany, ‘A Modified Particle Swarm Algorithm for Distribution Systems Reconfiguration’, Proceedings of the 2009 PES IEEE General Meeting, Calgary, Alberta, Canada, July 2009.
  • Gary Pampara, Nelis Franken and A. P. Engelbrecht, “Combining Particle Swarm Optimisation with angle modulation to solve binary problem” The 2005 IEEE Congress on Evolutionary Computation, 2005.
  • Wenxin Liu, Li Liu, David A. Cartes and Ganesh K. Venayagamoorthy “Binary Particle Swarm Optimization Based Defensive Islanding of Large Scale Power Systems” International Journal of Computer Science & Applications, vol. 4 Issue 3, pp 69-83, 2007.
  • Li Liu, Wenxin Liu, David A. Cartes and Il-Yop Chung “Slow Coherency and Angle Modulated Particle Swarm Optimization based islanding of large-scale power systems” Advanced Engineering Informatics 23, 2009.
  • MATLAB® Documentation.
Year 2014, Volume: 2 Issue: 3, 51 - 57, 01.07.2014
https://doi.org/10.18201/ijisae.59861

Abstract

References

  • Q. Zhao, K. Sun, D. Zheng, J. Ma and Q. Lu, “A study of system splitting strategies for island operation of power system: A two-phase method based on OBDDs” IEEE Transactions on Power Systems, Volume 18, no.4, November 2003.
  • F. M. Elkady and A. Y. Abdelaziz, “Voltage stability assessment of electrical power systems using artificial neural networks,” Journal of Engineering and Applied Science, Faculty of Engineering, Cairo University, Vol. 48, No. 4, pp. 727–743, August 2001.
  • A. Y. Abdelaziz, M. M. Abu-Elnaga, M. A. Elsharkawy and K. M. Elbahrawy, ‘Voltage Stability Assessment of Multi-machine Power Systems using Energy Function and Neural Networks Techniques’, Electric Power Components and Systems Journal, Vol. 34, No. 12, December 2006, pp. 1313-1330.
  • P. Kundur, Power System Stability and Control. 1994.
  • Kai Sun, Kyeon Hur and Pei Zhang, “A new unified scheme for controlled power system separation using synchronized phasor measurements” IEEE Trans Power Systems, vol. 26 , pp. 1544-1554, 2011.
  • Kai Sun, Qianchuan Zhao, Da-Zhong Zheng, Jin Ma and Qiang Lu, “A two-phase method based on OBDD for searching for splitting strategies of large-scale power systems” International Conference on Power System Technology, vol. 2 , pp. 834-838, 2002.
  • Haibo You, Vijay Vittak, Xiaoming Wang, “Slow Coherency-based islanding” IEEE Trans Power Systems, vol. 19, pp. 483-491, 2004.
  • Song Honglei, Wu Junyong and Wu Linfeng, “Controlled Islanding Based on Slow-coherency and KWP Theory” Innovative Smart Grid Technologies - Asia (ISGT Asia), IEEE, 2012.
  • James Kennedy and Russel Eberhart, “Particle Swarm Optimization” IEEE International Conference Proceedings on Neural Networks, 1995.
  • A. Y. Abdelaziz, S. F. Mekhamer, M. A. L. Badr, F. M. Mohammed and E.F. El-Saadany, ‘A Modified Particle Swarm Algorithm for Distribution Systems Reconfiguration’, Proceedings of the 2009 PES IEEE General Meeting, Calgary, Alberta, Canada, July 2009.
  • Gary Pampara, Nelis Franken and A. P. Engelbrecht, “Combining Particle Swarm Optimisation with angle modulation to solve binary problem” The 2005 IEEE Congress on Evolutionary Computation, 2005.
  • Wenxin Liu, Li Liu, David A. Cartes and Ganesh K. Venayagamoorthy “Binary Particle Swarm Optimization Based Defensive Islanding of Large Scale Power Systems” International Journal of Computer Science & Applications, vol. 4 Issue 3, pp 69-83, 2007.
  • Li Liu, Wenxin Liu, David A. Cartes and Il-Yop Chung “Slow Coherency and Angle Modulated Particle Swarm Optimization based islanding of large-scale power systems” Advanced Engineering Informatics 23, 2009.
  • MATLAB® Documentation.
There are 14 citations in total.

Details

Primary Language English
Journal Section Research Article
Authors

Almoataz Youssef Abdelaziz

Walid El-khattam This is me

Mohammed Tageldin This is me

Publication Date July 1, 2014
Published in Issue Year 2014 Volume: 2 Issue: 3

Cite

APA Abdelaziz, A. Y., El-khattam, W., & Tageldin, M. (2014). Application of Angle-Modulated Particle Swarm Optimization Technique in Power System Controlled Separation WAP. International Journal of Intelligent Systems and Applications in Engineering, 2(3), 51-57. https://doi.org/10.18201/ijisae.59861
AMA Abdelaziz AY, El-khattam W, Tageldin M. Application of Angle-Modulated Particle Swarm Optimization Technique in Power System Controlled Separation WAP. International Journal of Intelligent Systems and Applications in Engineering. July 2014;2(3):51-57. doi:10.18201/ijisae.59861
Chicago Abdelaziz, Almoataz Youssef, Walid El-khattam, and Mohammed Tageldin. “Application of Angle-Modulated Particle Swarm Optimization Technique in Power System Controlled Separation WAP”. International Journal of Intelligent Systems and Applications in Engineering 2, no. 3 (July 2014): 51-57. https://doi.org/10.18201/ijisae.59861.
EndNote Abdelaziz AY, El-khattam W, Tageldin M (July 1, 2014) Application of Angle-Modulated Particle Swarm Optimization Technique in Power System Controlled Separation WAP. International Journal of Intelligent Systems and Applications in Engineering 2 3 51–57.
IEEE A. Y. Abdelaziz, W. El-khattam, and M. Tageldin, “Application of Angle-Modulated Particle Swarm Optimization Technique in Power System Controlled Separation WAP”, International Journal of Intelligent Systems and Applications in Engineering, vol. 2, no. 3, pp. 51–57, 2014, doi: 10.18201/ijisae.59861.
ISNAD Abdelaziz, Almoataz Youssef et al. “Application of Angle-Modulated Particle Swarm Optimization Technique in Power System Controlled Separation WAP”. International Journal of Intelligent Systems and Applications in Engineering 2/3 (July 2014), 51-57. https://doi.org/10.18201/ijisae.59861.
JAMA Abdelaziz AY, El-khattam W, Tageldin M. Application of Angle-Modulated Particle Swarm Optimization Technique in Power System Controlled Separation WAP. International Journal of Intelligent Systems and Applications in Engineering. 2014;2:51–57.
MLA Abdelaziz, Almoataz Youssef et al. “Application of Angle-Modulated Particle Swarm Optimization Technique in Power System Controlled Separation WAP”. International Journal of Intelligent Systems and Applications in Engineering, vol. 2, no. 3, 2014, pp. 51-57, doi:10.18201/ijisae.59861.
Vancouver Abdelaziz AY, El-khattam W, Tageldin M. Application of Angle-Modulated Particle Swarm Optimization Technique in Power System Controlled Separation WAP. International Journal of Intelligent Systems and Applications in Engineering. 2014;2(3):51-7.