Viqar Yousuf and Aijaz Ahmad


  1. [1] A. Ostadi, A. Yazdani, and R.K. Varma, Modeling and stability analysis of a DFIG-based wind-power generator interfaced with a series-compensated line, IEEE Transactions on Power Delivery, 24(3), 2009, 1504–1514.
  2. [2] J. Adams, C. Carter, and S. Huang, Ercot experience with sub-synchronous control interaction and proposed remediation, PES T D 2012, Orlando, FL, USA, 2012, 1–5.
  3. [3] L. Wang, X. Xie, Q. Jiang, H. Liu, Y. Li, and H. Liu, Investigation of SSR in practical DFI-based wind farms connected to a series-compensated power system, IEEE Transactions on Power Systems, 30 (5), 2015, 2772–2779.
  4. [4] R.K. Varma, S. Auddy, and Y. Semsedini, Mitigation of subsynchronous resonance in a series-compensated wind farm using facts controllers, IEEE Transactions on Power Delivery, 23(3), 2008, 1645–1654.
  5. [5] D.N. Walker, C.E.J. Bowler, R.L. Jackson, and D.A. Hodges, Results of subsynchronous resonance test at Mohave, IEEE Transactions on Power Apparatus and Systems, 94(5), 1975, 1878–1889.
  6. [6] I.S. Working Group, Terms, definitions and symbols for subsynchronous oscillations, IEEE Transactions on Power Apparatus and Systems, PAS-104(6), 1985, 1326–1334.
  7. [7] N.G. Hingorani and L. Gyugyi, Understanding FACTS: concepts and technology of flexible AC transmission systems, 1st ed. (UK: Wiley-IEEE Press, 1999).
  8. [8] A. Adrees and J. Milanovic, Optimal compensation of transmission lines based on minimisation of the risk of subsynchronous resonance, 2016 IEEE Power and Energy Society General Meeting (PESGM), Boston, MA, USA, 2016.
  9. [9] X. Xie, X. Zhang, H. Liu, H. Liu, Y. Li, and C. Zhang, Characteristic analysis of subsynchronous resonance in practical wind farms connected to series-compensated transmissions, IEEE Transactions on Energy Conversion, 32(3), 2017, 1117–1126.
  10. [10] L. Shi, J. Su, and L. Yao, SS resonance analysis of complex power system incorporating wind power, IET Renewable Power Generation, 11(3), 2017, 305–312.
  11. [11] A.E. Leon, Integration of dfig-based wind farms into series-compensated transmission systems, IEEE Transactions on Sustainable Energy, 7(2), 2016, 451–460.
  12. [12] M. Mokhtari, J. Khazaei, and D. Nazarpour, Sub-synchronous resonance damping via doubly fed induction generator, International Journal of Electrical Power and Energy Systems, 53, 2013, 876–883.
  13. [13] M. Farahani, Damping of subsynchronous oscillations in power system using static synchronous series compensator, IET Generation, Transmission Distribution, 6(6), 2012, 539–544.
  14. [14] J. Khazaie, M. Mokhtari, M. Khalilyan, and D. Nazarpour, Subsynchronous resonance damping using distributed static series compensator (DSSC) enhanced with fuzzy logic controller, International Journal of Electrical Power & Energy Systems, 43(1), 2012, 80–89.
  15. [15] D. Koteswara Raju, B.S. Umre, A.S. Junghare, M.P. Thakre, R. Motamarri, and C. Somu, Fractional-order pi based STAT-COM and UPFC controller to diminish subsynchronous resonance, SpringerPlus, 5(1), 2016, 1599.
  16. [16] R.G. Farmer, Second benchmark model for computer simulation of subsynchronous resonance ieee subsynchronous resonance working group of the dynamic system performance subcommittee power system engineering committee, IEEE Power Engineering Review, PER-5(5), 1985, 34.
  17. [17] P. Qui and Z. Xu, Modeling shaft damping of turbine-generator in electromagnetic transient simulation, International Journal of Emerging Electric Power Systems, 11(1), 2010.
  18. [18] H. Heydari-doostabad, M.R. Khalghani, and M.H. Khooban, A novel control system design to improve LVRT capability of fixed speed wind turbines using STATCOM in presence of voltage fault, International Journal of Electrical Power & Energy Systems, 77, 2016, 280–286.
  19. [19] M.R. Khalghani, M.H. Khooban, and T. Niknam, Adaptive pi controller to voltage regulation in power systems: STATCOM as a case study, ISA Transactions, 66, 2017, 325–334.
  20. [20] B. Singh, A. Chandra, and K. Al-Haddad, Power quality: problems mitigation techniques (Hoboken, NJ, USA: Wiley, 2014).
  21. [21] J. Hertz, A. Krough, and R. Palmer, Introduction to the theory of neural computation (Reading, MA: Addison-Wesley, 1991).
  22. [22] P.D. Wasserman, Neural computing: theory and practice (New York, NY: Van Nostrand Reinhold, 1989).
  23. [23] D.J.C. MacKay, Bayesian interpolation, Neural Computation, 4(3), 1992, 415–447.

Important Links:

Go Back