Abstract

The aim of this study is to present a comprehensive comparison and assessment of the damping function improvement for the multiple damping stabilizers using the simultaneously coordinated design based on Power System Stabilizer (PSS) and Static synchronous Compensator (STATCOM). In electrical power system, the STATCOM device is used to support bus voltage by compensating reactive power; it is also capable of enhancing the stability of the power system by the adding a supplementary damping stabilizer to the internal AC or DC voltage control channel of the STATCOM inputs to serve as a Power Oscillation Damping (POD) controller. Simultaneous coordination can be performed in different ways. First, the dual-coordinated design between PSS and STATCOM AC-POD stabilizer or DC-POD stabilizer is used. Then, coordination between the AC and DC STATCOM-based POD stabilizers are arranged in a single STATCOM device without PSS. Second, the coordinated design has been extended to triple multiple stabilizers among PSS, the AC-based POD and the DC-based POD in a Single Machine Infinite Bus (SMIB). The parameters of the multiple stabilizers have been tuned in the coordinated design by using a Chaotic Particle Swarm Optimization (CPSO) algorithm that optimized the given eigenvalue-based objective function. The simulation results show that the dual-coordinated design provide satisfactory damping performance over the individual control responses. Furthermore, the-triple coordinated design has been shown to be more effective in damping oscillations than the dual damping stabilizers.

Keywords:

Power system oscillation damping, PSS, STATCOM, triple coordinated design,

References

1. Abd-Elazim, S.M. and E.S. Ali, 2012. Coordinated design of PSSs and SVC via bacteria foraging optimization algorithm in a multimachine power system. Int. J. Elec. Power, 41(1): 44-53.
   CrossRef    
2. Abdel-Magid, Y.L. and M.A. Abido, 2004. Robust coordinated design of excitation and TCSC-based stabilizers using genetic algorithms. Electr. Pow. Syst. Res., 69(2-3): 129-141.
   CrossRef    
3. Abido, M.A., 2005. Analysis and assessment of STATCOM-based damping stabilizers. Electr. Pow. Syst. Res., 73(1): 177-185.
   CrossRef    
4. Babaei, E. and V. Hosseinnezhad, 2010. A QPSO based parameters tuning of the conventional power system stabilizer. Proceedings of 9th International Power and Energy Conference (IPEC, 2010), pp: 467-471.
   CrossRef    
5. Babaei, E., A.M. Bolhasan, M. Sadeghi and S. Khani, 2011. An improved PSO and genetic algorithm based damping controller used in UPFC for power system oscillations damping. Proceedings of the International Conference on Electrical Machines and Systems (ICEMS 2011), pp: 1-6.
   CrossRef    
6. Bamasak, S.M. and M.A. Abido, 2004. Assessment study of shunt FACTS-based controller's effectiveness on power system stability enhancement. Proceedings of the 39th International Universities Power Engineering Conference (UPEC 2004). Saudi Electricity Co., pp: 274-278.
   
7. Du, W., X. Wu, H.F. Wang and R. Dunn, 2010. Feasibility study to damp power system multi-mode oscillations by using a single FACTS device. Int. J. Elec. Power, 32(6): 645-655.
   CrossRef    
8. Eslami, M., H. Shareef, A. Mohamed and M. Khajehzadeh, 2011. Coordinated design of PSS and SVC damping controller using CPSO. Proceedings of the 5th International Power Engineering and Optimization Conference 2011 (PEOCO 2011), pp: 11-16.
   CrossRef    
9. Furini, M.A., A.L.S. Pereira and P.B. Araujo, 2011. Pole placement by coordinated tuning of power system stabilizers and FACTS-POD stabilizers. Int. J. Elec. Power, 33(3): 615-622.
   CrossRef    
10. Gibbard, M.J., D.J. Vowles and P. Pourbeik, 2000. Interactions between and effectiveness of, power system stabilizers and FACTS device stabilizers in multimachine systems. IEEE T. Power Syst., 15(2): 748-755.
    CrossRef    
11. Hemmati, R., S.M.S. Boroujeni, E. Behzadipour and H. Delafkar, 2011. Supplementary stabilizer design based on STATCOM. Indian J. Sci. Technol., 4(5): 525-529.
    
12. Kazemi, A. and V.M. Sohrforouzani, 2006. Power system damping using fuzzy controlled facts devices. Int. J. Elec. Power, 28(5): 349-357.
    CrossRef    
13. Kennedy, J. and R.C. Eberhart, 1995. Particle swarm optimization. Proceedings of the IEEE International Conference on Neural Networks. Perth, pp: 1942-1948.
    CrossRef    
14. Kundur, P., 1994. Small-signal Stability. In: Balu, N.J. and M.G. Lauby (Eds.), Power System Stability and Controls. McGraw-Hill, Inc., New York, pp: 699-717.
    
15. Li, S.Y., S.S. Lee, Y.T. Yoon and J.K. Park, 2009. Nonlinear adaptive decentralized stabilization control for multimachine power systems. Int. J. Control Autom., 7(3): 389-397.
    CrossRef    
16. Mohagheghi, S., G.K. Venayagamoorthy and R.G. Harley, 2007. Optimal neuro-fuzzy external controller for a STATCOM in the 12-bus benchmark power system. IEEE T. Power Deliver., 22(4): 2548-2558.
    CrossRef    
17. Mostafa, H.E., M.A. El-Sharkawy, A.A. Emary and K. Yassin, 2012. Design and allocation of power system stabilizers using the particle swarm optimization technique for an interconnected power system. Int. J. Elec. Power, 34(1): 57-65.
    CrossRef    
18. Mukherjee, V. and S.P. Ghoshal, 2007. Comparison of intelligent fuzzy based AGC coordinated PID controlled and PSS controlled AVR system. Int. J. Elec. Power, 29(9): 679-689.
    CrossRef    
19. Nguyen, T.T. and R. Gianto, 2008. Neural networks for adaptive control coordination of PSSs and FACTS devices in multimachine power system. IET Gener. Transm. Dis., 2(3): 355-372.
    CrossRef    
20. Panda, S. and N.P. Padhy, 2008. Optimal location and controller design of STATCOM for power system stability improvement using PSO. J. Franklin I., 345(2): 166-181.
    CrossRef    
21. Parpinelli, R.S. and H.S. Lopes, 2011. New inspirations in swarm intelligence: A survey. Int. J. Bio-Inspired Comput., 3(1): 1-16.
    CrossRef    
22. Rouco, L., 2001. Coordinated design of multiple controllers for damping power system oscillations. Int. J. Elec. Power, 23(7): 517-530.
    CrossRef    
23. Segal, R., A. Sharma and M.L. Kothari, 2004. A self-tuning power system stabilizer based on artificial neural network. Int. J. Elec. Power, 26(3): 423-430.
    CrossRef    
24. Shayeghi, H., A. Safari and H.A. Shayanfar, 2010. PSS and TCSC damping controller coordinated design using PSO in multi-machine power system. Energ. Convers. Manage., 51(12): 2930-2937.
    CrossRef    
25. Talaat, H.E.A., A. Abdennour and A.A. Al-Sulaiman, 2010. Design and experimental investigation of a decentralized GA-optimized neuro-fuzzy power system stabilizer. Int. J. Elec. Power, 32(7): 751-759.
    CrossRef    
26. Yao, F.T.S., 1983. Electric Power System Dynamics. 1st Edn., Academic Press, Inc., New York, USA.
    
27. Zhang, X.P., C. Rehtanz and B. Pal, 2006. Flexble AC Transmission system: Modeling and Control. Springer, Berlin Heidelberg.
    

Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.