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Abstract

The use of power system stabilizers (PSSs) to damp power system swing mode oscillations is of extreme practical importance. This manuscript presents an approach to the stabilization of a single machine infinite bus system (SMIB). The proposed control is based on the notch-filter approach to cancel the poles near to the imaginary axes. The approach is based on the root locus method. Application to Barka II power station connected to the main interconnected system of Oman is presented. The peak load at summer is considered as the system is near to instability. The Barka SMIB is modeled as a fourth order non-linear system. A linearized model is then obtained using MATLAB/Simulink. The simulation results validate the proposed design for the PSS.

Keywords

Notch-filter Power system stabilizers Root locus.

Article Details

How to Cite
Albadi, M., Soliman, H., Al-Maamari, M., & Al-Kasbi, A. (2019). POWER SYSTEM STABILIZER DESIGN USING NOTCH-FILTER – BARKA II (OMAN) - CASE STUDY. The Journal of Engineering Research [TJER], 16(2), 87–95. https://doi.org/10.24200/tjer.vol16iss2pp87-95
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References

  1. Albadi, M. H. (2017), Electricity sector in Oman after 10 years of reform: status, trends, and future perspectives. The Electricity Journal 30(7): 23-30.
  2. Albadi M.H. El-Rayani Y.M. El-Saadany E.F. and Al-Riyami H.A. (2018), Impact of solar power projects on LMP and transmission losses in Oman. Sustainable Energy Technologies and Assessments 27: 141-149.
  3. Castellanos R. A. Messina and Sarmiento H (2008), A μ-analysis approach to power system stability robustness evaluation. Electric Power Systems Research 78(2): 192-201.
  4. Elshafei A.L. K. El-Metwally and A. Shaltout (2005), A variable-structure adaptive fuzzy-logic stabilizer for single and multi-machine power systems. Control Engineering Practice 13(4): 413-423.
  5. Feng G (2006), A survey on analysis and design of model-based fuzzy control systems. IEEE Transactions on Fuzzy Systems 14(5): 676-697.
  6. Hussein T. M. Saad A. Elshafei and A. Bahgat (2010), Damping inter-area modes of oscillation using an adaptive fuzzy power system stabilizer. Electric Power Systems Research 80(12): 1428-1436.
  7. Kundur P. N. J. Balu and M. G. Lauby (1994), Power system stability and control, McGraw-hill, New York.
  8. Machowski J. J. Bialek and J. Bumby (2008), Power system dynamics stability and control. John Wiley and Sons, Chichester.
  9. Pal B. and Chaudhuri B (2006), Robust control in power systems, Springer Science and Business Media.
  10. Peres W. I. C. S. Júnior and J. A. Passos Filho (2018), Gradient based hybrid metaheuristics for robust tuning of power system stabilizers. International Journal of Electrical Power & Energy Systems 95: 47-72.
  11. Rahmatian M. and S. Seyedtabaii (2019). Multi-machine optimal power system stabilizers design based on system stability and nonlinearity indices using Hyper-Spherical Search method. International Journal of Electrical Power and Energy Systems 105: 729-740.
  12. Rao P. S. and I. Sen (2000) Robust pole placement stabilizer design using linear matrix inequalities. IEEE Transactions on Power Systems 15(1): 313-319.
  13. Sauer P.W. and Pai M.A. (1998). Power system dynamics and stability. Upper Saddle River, New Jersey: Prentice hall, USA.
  14. Soliman H. A. Elshafei A. Shaltout and M. Morsi (2000), Robust power system stabiliser. IEE Proceedings-Generation, Transmission and Distribution 147(5): 285-291.
  15. Soliman H. and M. Shafiq (2015), Robust stabilisation of power systems with random abrupt changes. IET Generation, Transmission and Distribution 9(15): 2159-2166.
  16. Soliman H.M.A. Dabroum M. Mahmoud and M. Soliman (2011), Guaranteed-cost reliable control with regional pole placement of a power system. Journal of the Franklin Institute 348(5): 884-898.
  17. Soliman H.M. and K.A. El Metwally (2017), Robust pole placement for power systems using two-dimensional membership fuzzy constrained controllers. IET Generation, Transmission and Distribution 11(16): 3966-3973.
  18. Soliman M. (2014), Parameterization of robust three-term power system stabilizers. Electric Power Systems Research 117: 172-184.
  19. Tanaka K and H. O. Wang (2004), Fuzzy control systems design and analysis: a linear matrix inequality approach, John Wiley and Sons.
  20. Werner H.P. Korba and T. C. Yang (2003), Robust tuning of power system stabilizers using LMI-techniques. IEEE Transactions on Control Systems Technology 11(1): 147-152.