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Reseach Article

Power System Stability Enhancement using SVC with Modified PSO Tuned PID Controller

by Nizar Hadi Abbas, Ruba Al-mula Humadi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 71 - Number 3
Year of Publication: 2013
Authors: Nizar Hadi Abbas, Ruba Al-mula Humadi
10.5120/12337-8610

Nizar Hadi Abbas, Ruba Al-mula Humadi . Power System Stability Enhancement using SVC with Modified PSO Tuned PID Controller. International Journal of Computer Applications. 71, 3 ( June 2013), 15-22. DOI=10.5120/12337-8610

@article{ 10.5120/12337-8610,
author = { Nizar Hadi Abbas, Ruba Al-mula Humadi },
title = { Power System Stability Enhancement using SVC with Modified PSO Tuned PID Controller },
journal = { International Journal of Computer Applications },
issue_date = { June 2013 },
volume = { 71 },
number = { 3 },
month = { June },
year = { 2013 },
issn = { 0975-8887 },
pages = { 15-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume71/number3/12337-8610/ },
doi = { 10.5120/12337-8610 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:34:31.007673+05:30
%A Nizar Hadi Abbas
%A Ruba Al-mula Humadi
%T Power System Stability Enhancement using SVC with Modified PSO Tuned PID Controller
%J International Journal of Computer Applications
%@ 0975-8887
%V 71
%N 3
%P 15-22
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A modified particle swarm optimization (MPSO) algorithm is utilized in this paper to find out the optimum design of Proportional-Integral-Derivative (PID) controller parameters that improves the stability of a Single-Machine Infinite-Bus (SMIB) system with Static VAR Compensator (SVC). The performance of the power system under different loading conditions is investigated by using three tuning methods. Namely, Ziegler-Nichols-PID, PSO-PID, and MPSO-PID. The simulation results show that the proposed MPSO-PID controlling technique has improved the system response as compared to the two other techniques, that because it gives minimum rise time and minimum settling time with no overshoot and approximately zero steady-state error. All simulations are carried out in MATLAB R2010a software environment.

References
  1. H. Saadat, "Power System Analysis," McGraw Hill International Editions, 1999.
  2. H. Rahman, Dr. F. Rahman, and H. O. -Rashid, "Stability Improvement of Power System By Using SVC With PID Controller," International Journal of Emerging Technology and Advanced Engineering (IJETAE ), vol. 2, no. 7, pp. 226-233, July 2012.
  3. H. Rahman, Dr. F. Rahman, and H. O. -Rashid, "Power System Stability Improvement By Using SVC With TID Tuned PID Controller," International Journal of Advanced Research in Computer Engineering &Technology (IJARCET), vol. 1, no. 8, pp. 93-98, Oct. 2012.
  4. H. Rahman, Dr. F. Rahman, and H. O. -Rashid, "Improvement of Power System Stability Using Static Var Compensator with Controller," International Journal of Advanced Research in Computer Engineering & Technology(IJARCET), vol. 1, no. 9, pp. 200-205, Nov. 2012.
  5. A. K. Mohanty, and A. K. Barik, "Power System Stability Improvement Using FACTS Devices,", International Journal of Modern Engineering Research (IJMER), vol. 1, no. 2, pp-666-672, Nov. -Dec. 2011.
  6. J. G. Ziegler and N. B. Nichols, "Optimum Settings for Automatic Controllers," Transactions of ASME, vol. 64, pp. 759-765, 1942.
  7. J. Kennedy and R. Eberhart, "Particle Swarm Optimization," Proceedings of IEEE International Conference on Neural Networks, Perth, Australia, vol. IV, pp. 1942–1948, 27 Nov. -1Dec. , 1995.
  8. A. E. Hammad, "Analysis of Power System Stability Enhancement by Static VAR Compensators," IEEE Transactions on Power Systems, vol. 1, no. 4, pp. 222-227, Nov. 1986.
  9. P. Srihari, and G. S. Reddy, "Effective Way to Damping Power Oscillations using Static VAR Compensator with Fuzzy Logic Controller," International Journal on Technical and Physical Problems of Engineering (IJTPE), vol. 4, no. 13, pp. 89-94, Dec. 2012.
  10. Y. Ma, S. Chen, and B. Zhang, "A Study on Nonlinear SVC Control for Improving Power System Stability," Proceedings of IEEE Region 10 Conference on Computer, Communication, Control and Power Engineering (TENCON'93), Beijing, China, vol. 5, pp. 166-169, 19-21 Oct. 1993.
  11. R. V. Dukkipati, "Control Systems," Narosa Publishing House, 2005.
  12. K. Ang, G. Chong, and Y. Li, "PID Control System Analysis, Design, and Technology," IEEE Trans. Control System Technology, vol. 13, pp. 559-576, July 2005.
  13. K. S. Ismail, F. M. Tuaimah, and R. A. Hummadi, "DC Motor Speed Controller Design using Pole Assignment Technique for Industrial Application, "Journal of Engineering, vol. 17, no. 3,pp. 466-472, June 2011.
  14. B. S. Manke, "Linear Control Systems with MATLAB Applications," Khanna Publishers, 8th Edition, 2006.
  15. K. J. Åström and R. M. Murray, "Feedback Systems: An Introduction for Scientists and Engineers," Princeton University Press, Princeton, NJ, 2008.
  16. K. J. Åström and T. Hägglund, "PID Controllers: Theory, Design, and Tuning," Instrument Society of America, Research Triangle Park, NC, 2nd Edition, 1995.
  17. K. E. Parsopoulos, M. N. Vrahatis, "Particle Swarm Optimization and Intelligence: Advances and Applications," Information Science Reference, NY, USA, 2010.
  18. M. Clerc, "The swarm and the Queen: Towards a Deterministic and Adaptive Particle Swarm Optimization, "Proceedings of International Conference on Evolutionary Computation, France Telecom, Annecy, France, vol. 3, pp. 1951-1957, 06-09 July, 1999.
  19. Z. -L. Gaing, "A Particle Swarm Optimization Approach for Optimum Design of PID Controller in AVR System," IEEE Transactions on Energy Conversion, vol. 19, no. 2,pp. 384-391, June 2004.
  20. T. O. Mahony, C. J. Downing, and K. Fatla, "Genetic Algorithm for PID Parameter Optimization: Minimizing Error Criteria," Proceedings of International Conference on Process Control and Instrumentation, Glasgow, UK, pp. 148-153, 26-28 July, 2000.
  21. M. A. Zaman , S. A. Mamun, Md. Gaffar, S. M. Choudhury, Md. M. Alam, and Md. Abdul Matin, "Phased Array Synthesis Using Modified Particle Swarm Optimization," Journal of Engineering Science and Technology Review, vol. 4, no. 1, pp. 68-73, 2011.
  22. A. Ratnaweera, S. K. Halgamuge, and H. C. Watson, "Self-Organizing Hierarchical Particle Swarm Optimizer with Time-Varying Acceleration coefficients," IEEE Transactions on Evolutionary Computation, vol. 8, no. 3, pp. 240-255, 2004.
Index Terms

Computer Science
Information Sciences

Keywords

SMIB Power System SVC PID Controller Ziegler-Nichols Tuning Method PSO Algorithm MPSO Algorithm Power System Stability