Journal of Electrical Engineering and Technology

  • 제6권2호
  • /
  • Pages.182-191
  • /
  • 2011
  • /
  • 1975-0102(pISSN)
  • /
  • 2093-7423(eISSN)
대한전기학회 (The Korean Institute of Electrical Engineers)
권호 표지
DOI QR코드

DOI QR Code

Comparison of Particle Swarm Optimization and the Genetic Algorithm in the Improvement of Power System Stability by an SSSC-based Controller

  • Peyvandi, M. (Dept. of Electrical Engineering, Islamic Azad University) ;
  • Zafarani, M. (Dept. of Electrical and computer Engineering, Isfahan University of Technology) ;
  • Nasr, E. (Dept. of Electrical Engineering, Islamic Azad University)
  • 투고 : 2010.08.16
  • 심사 : 2010.12.07
  • 발행 : 2011.03.01
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

Genetic algorithms (GA) and particle swarm optimization (PSO) are the most famous optimization techniques among various modern heuristic optimization techniques. These two approaches identify the solution to a given objective function, but they employ different strategies and computational effort; therefore, a comparison of their performance is needed. This paper presents the application and performance comparison of the PSO and GA optimization techniques for a static synchronous series compensator-based controller design. The design objective is to enhance power system stability. The design problem of the FACTS-based controller is formulated as an optimization problem, and both PSO and GA optimization techniques are employed to search for the optimal controller parameters.

키워드

참고문헌

  1. D.E. Goldberg, Genetic Algorithms in Search, Optimization, and Machine Learning (Addison-Wesley, Inc., 1989).
  2. Y. L. Abdel-Magid, M. A. Abido, Coordinated Design of a PSS and a SVC-based Controller to Enhance Power System Stability, Int. J. of Electrical Power & Energy Systems, Vol. 25, pp. 695-704, 2003. https://doi.org/10.1016/S0142-0615(02)00124-2
  3. A. Varsek, T. Urbancic, B. Filipic, Genetic Algorithm in Controller Design and Tuning, IEEE Trans. System, Man, and Cybernetics, Vol. 23, No. 5, pp. 1330-1339, 1993. https://doi.org/10.1109/21.260663
  4. J. M. Ramirez, I. Castillo, PSS and FDS Simultaneous Tuning, Electrical Power System Research, Vo. 68, pp. 33-40, 2004. https://doi.org/10.1016/S0378-7796(03)00148-2
  5. E. Larsen and D. Swann, “Applying Power System Stabilizers”, IEEE Trans. PAS, 100(6)(1981), pp. 3017-3046. https://doi.org/10.1109/TPAS.1981.316355
  6. G. T. Tse and S.K.Tso, “Refinement of Conventional PSS Design in Multi-machine System by Modal Analysis”, IEEE Trans. PWRS, 8(2)(1993), pp. 598- 605. https://doi.org/10.1109/59.260822
  7. P. W. Sauer and M. A. Pai, Power System Dynamics and Stability. Prentice Hall, 1998.
  8. M. A. Abido, Analysis and Assessment of STATCOM-based Damping Stabilizer for Power System Stability Enhancement, Electrical Power System Research, Vol. 73, pp. 177-185, 2005. https://doi.org/10.1016/j.epsr.2004.08.002
  9. J. Kennedy, R. C. Eberhart, Particle Swarm Optimization, Proc. IEEE Int'l. Conf. on Neural Networks, IV, 1942-1948. Piscataway, NJ, IEEE Service Center, 1995.
  10. PSO Tutorial, http://www.swarmintelligence.org/tutorials. php
  11. N. G. Hingorani and L. Gyugyi, Understanding FACTS: concepts and technology of flexible AC transmission systems, IEEE Press, New York, 2000.
  12. L. Gyugyi, C. D. Schauder and K. K. Sen, Static synchronous series compensator: a solid-state approach to the series compensation of transmission lines, IEEE Transactions on Power Delivery, Vol. 12, No. 1, pp. 406-417, Jan. 1997. https://doi.org/10.1109/61.568265
  13. H. F. Wang, Static synchronous series compensator to damp power system oscillations, Electric Power Systems Research, Vol. 54, pp. 113-119, 2000. https://doi.org/10.1016/S0378-7796(99)00076-0
  14. R. Mihalic and I. Papic, Static synchronous series compensator-a mean for dynamic power flow control in electric power systems, Electric Power Systems Research, Vol. 45, pp. 65-72, 1998. https://doi.org/10.1016/S0378-7796(97)01233-9
  15. D. Menniti, A. Pinnarelli, N. Scordino and N. Sorrentino, Using a FACTS device controlled by a decentralised control law to damp the transient frequency deviation in a deregulated electric power system, Electric Power Systems Research, Vol. 72 pp. 289- 298, 2004. https://doi.org/10.1016/j.epsr.2004.04.013
  16. I. Ngamroo, J. Tippayachai and S. Dechanupaprittha, Robust decentralised frequency stabilisers design of static synchronous series compensators by taking system uncertainties into consideration, Electrical Power and Energy Systems Vol. 28, pp. 513-524, 2006. https://doi.org/10.1016/j.ijepes.2006.01.005
  17. F. A. R. Al Jowder and B. T. Ooi, Series Compensation of Radial Power System by a Combination of SSSC and Dielectric Capacitors, IEEE Transactions on Power Delivery, Vol. 20, No. 1, pp. 458-465, January 2005. https://doi.org/10.1109/TPWRD.2004.837110
  18. F. A. R. Al Jowder, Influence of Mode of Operation of the SSSC on the Small Disturbance and Transient Stability of a Radial Power System, IEEE Transactions on Power Systems, Vol. 20, No. 2, pp. 935-942, May 2005. https://doi.org/10.1109/TPWRS.2005.846121
  19. M.S. Castro, H.M. Ayres, V.F. da Costa and L.C.P. da Silva, Impacts of the SSSC control modes on smallsignal transient stability of a power system, Electric Power Systems Research, Vol. 77, pp. 1-9, 2007. https://doi.org/10.1016/j.epsr.2006.01.003
  20. Available: http://www.control-innovation.com/
  21. Y. L. Abdel-Magid, M.A. Abido, Coordinated design of a PSS and a SVC-based controller to enhance power system stability, Electrical Power & Energy Syst, Vol. 25, pp. 695-704, 2003. https://doi.org/10.1016/S0142-0615(02)00124-2
  22. Y. L. Abdel-Magid and M.A.Abido, Robust coordinated design of excitation and TCSC-based stabilizers using genetic algorithms, International Journal of Electrical Power & Energy Systems, Vol. 69, No. 2-3, pp. 129-141. 2004. https://doi.org/10.1016/j.epsr.2003.06.009
  23. M. A. Abido, Analysis and assessment of STATCOMbased damping stabilizers for power system stability enhancement, Electric Power Systems Research, Vol. 73, pp. 177-185, 2005. https://doi.org/10.1016/j.epsr.2004.08.002
  24. P. Kundur, Power System Stability and Control, McGraw-Hill, 1994.
  25. J. Kennedy, R. Eberhart, Swarm Intelligence, Academic press, 1 st ed. San Diego, CA, 2001.
  26. Z. L. Gaing, A particle swarm optimization approach for optimum design of PID controller in AVR system, IEEE Trans. Energy Conv., Vol. 9, No. 2, pp. 384-391, 2004. https://doi.org/10.1109/TEC.2003.821821
  27. SimPowerSystems 4.3 User’s Guide, Available: http://www.mathworks.com/products/simpower/
  28. S. Pand, N. P. Padhy, A PSO-based SSSC Controller for Improvement of Transient Stability Performance, International Journal of Intelligent Technology, Vol. 2, No. 1, 2007.
  29. S. Pand, N. P. Padhy, R. N. Patel, Application of Genetic Algorithm for FACTS-based Controller Design, International Journal of Computer, Information, and Systems Science, and Engineering, Vol. 1, No. 1, 2007.

피인용 문헌

  1. TCSC Nonlinear Adaptive Damping Controller Design Based on RBF Neural Network to Enhance Power System Stability vol.8, pp.2, 2013, https://doi.org/10.5370/JEET.2013.8.2.252
  2. Model Predictive-Based Maximum Power Point Tracking for Grid-Tied Photovoltaic Applications Using a Z-Source Inverter vol.31, pp.11, 2016, https://doi.org/10.1109/TPEL.2016.2537814
  3. An Optimized Home Energy Management System with Integrated Renewable Energy and Storage Resources vol.10, pp.4, 2017, https://doi.org/10.3390/en10040549
  4. Synthesis of linear array using Taylor distribution and Particle Swarm Optimisation vol.102, pp.3, 2015, https://doi.org/10.1080/00207217.2014.905993
  5. Applications of ANNs in flow and heat transfer problems in nuclear engineering: A review work vol.62, 2013, https://doi.org/10.1016/j.pnucene.2012.09.003
  6. Pattern synthesis of centre fed linear array using Taylor one parameter distribution and restricted search Particle Swarm Optimization vol.59, pp.11, 2014, https://doi.org/10.1134/S1064226914110205
  7. A Domestic Microgrid with Optimized Home Energy Management System vol.11, pp.4, 2018, https://doi.org/10.3390/en11041002