Robust Designing of the PSS and SVC Using Genetic Algorithm

  • Fahreddin SadikogluEmail author
  • Ebrahim Babaei
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1095)


In recent years, flexible alternative current transmission systems (FACTS) devices as well as static VAr compensator (SVC) have been used increasingly for dynamic voltage control. Lack of coordination between SVC and power system stabilizer (PSS) parameters can oppose bad effects and generator voltage as well as angular oscillation generator, so simultaneous coordination of stabilizer parameters and SVC is of great interest. In this paper, the problem of stability of a model power system is presented with SVC and PSS block diagrams modeling. Then, the objective function of optimal performance of the model network is to provide stability in various faults. Genetic algorithm (GA) is used to determine the parameters of control systems. Finally, by simulation in MATLAB software, analysis will be reviewed and approved.


Static VAr compensator Power system stabilizer Dynamic stability Genetic algorithm 


  1. 1.
    Ma, J., Wang, S., Wang, Z., Qiu, Y., Thorp, J.S.: Power system energy stability region based on dynamic damping theory. IET Gener. Transm. Distrib. 10, 2907–2914 (2016)CrossRefGoogle Scholar
  2. 2.
    Cao, G., Chen, L., Aihara, K.: Power system voltage stability assessment based on branch active powers. IEEE Trans. Power Sys. 30, 989–996 (2015)CrossRefGoogle Scholar
  3. 3.
    Fallahi, H., Aghamohammadi, M.R., Parizad, A., Mohamadi, A.: Enhancing power system oscillation damping using coordination between PSS and SVC. In: Proceedings of the EPECS, pp. 1–7 (2009)Google Scholar
  4. 4.
    Zhu, Z., Geng, G., Jiang, Q.: Power system dynamic model reduction based on extended krylov subspace method. IEEE Trans. Power Sys. 31, 4483–4494 (2016)CrossRefGoogle Scholar
  5. 5.
    Babaei, E., Bolhasan, A.M., Sadeghi, M., Khani, S.: Power system oscillations damping using UPFC based on an improved PSO and genetic algorithm. In: Journal of International Conference of Electrical Machines and Systems, vol. 1, pp. 135–142 (2012)Google Scholar
  6. 6.
    Mohammadzadeh Shahir, F., Babaei, E.: Evaluating the dynamic stability of power system using UPFC based on indirect matrix converter. J. Autom. Control Eng. 1, 279–284 (2013)CrossRefGoogle Scholar
  7. 7.
    Khodabakhshian, A., Hooshmand, R., Sharifian, R.: Power system stability enhancement by designing PSS and SVC parameters coordinately using RCGA. In: Proceedings of the Canadian Conference on Electrical and Computer Engineering, pp. 579–582 (2009)Google Scholar
  8. 8.
    Bian, X.Y., Geng, Y., Lo, K.L., Fu, Y., Zhou, Q.B.: Coordination of PSSs and SVC damping controller to improve probabilistic small-signal stability of power system with wind farm integration. IEEE Trans. Power Syst. 31, 2371–2382 (2015)CrossRefGoogle Scholar
  9. 9.
    Lei, X., Lerch, E.N., Povh, D.: Optimization and coordination of damping controls for improving system dynamic performance. IEEE Trans. Power Syst. 16, 473–480 (2001)Google Scholar
  10. 10.
    Alrashidi, M.R., El-Hawary, M.E.: A survey of particle swarm optimization in electric systems. IEEE Trans. Eval. Comput. 13, 913–918 (2009)CrossRefGoogle Scholar
  11. 11.
    Chang, Y.C.: Multi-objective optimal SVC installation for power system loading margin improvement. IEEE Trans. Power Syst. 27, 984–992 (2011)CrossRefGoogle Scholar
  12. 12.
    Abido, M.A., Abdel Magid, Y.L.: Power system stability enhancement via coordinated design of a PSS and an SVC based controller. In: Proceedings of the IEEE ICECS, vol. 2, pp. 850–853 (2003)Google Scholar
  13. 13.
    Zhijian, L., Hongchun, S., Jilai, Y.: Coordination control between PSS and SVC based on improved genatic-tabu hybrid algorithm. In: Proceedings of the International Conference on Sustainable Power Generation and Supply, pp. 1–5 (2009)Google Scholar
  14. 14.
    Babaei, E., Galvani, S., Ahmadi Jirdehi, M.: Design of robust power system stabilizer based on PSO. In: Proceedings of the IEEE Symposium on Industrial Electronics & Applications, vol. 1, pp. 325–330 (2009)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Engineering FacultyNear East UniversityNicosiaTurkey
  2. 2.Faculty of Electrical and Computer EngineeringUniversity of TabrizTabrizIran

Personalised recommendations