Performance Improvement of Various Types of Induction-based Wind Farms Using Center-node Unified Power Flow Controller

  • Ahmed Rashad
  • Salah Kamel
  • Francisco JuradoEmail author
  • Karar Mahmoud
Regular Papers Control Theory and Applications


In this paper, we propose the use of center-node unified power flow controller (C-UPFC) for improving the performance of different types of wind farms and mitigating their negative impacts on the grid. C-UPFC is considered one of the modernist members on Flexible AC Transmission System (FACTS). C-stocktickerUPFC has the ability to control several system parameters; the active and reactive power at both ends of the interconnected transmission line and the voltage at the midpoint. Three different induction-based wind farms are considered; 1) Squirrel Cage Induction Generator (SCIG), 2) Doubly Fed Induction Generator (DFIG), and 3) a combination of SCIG and DFIG turbines, i.e., Combined Wind Farm (CWF). C-stocktickerUPFC is comprehensively modelled for the first time in MATLAB Simulink, then the performance of the three wind farms is assessed with and without this device during three phase faults. Probabilistic voltage stability index (Probabilistic VSI) is used to measure the stability of the studied systems. In addition, the performance of three wind farms integrated with C-UPFC is compared with their performance when they integrated with Static synchronous compensators (STATCOM). The results show that C-UPFC has the ability to enhance the performance of wind farms during the three phase fault. C-UPFC is capable to remain the connection between SCIG wind farm and the interconnected grid during the fault. The voltage of CWF is greatly enhanced in the case of using C-UPFC. C-UPFC also improves the output powers of DFIG and CWF, especially after fault clearance.


Combined wind farm C-UPFC doubly fed induction generator FACTS squirrel cage induction generator voltage stability 


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  1. [1]
    H. Ahuja, S. Sharma, G. Singh, A. Sharma, and A. Singh, “Coordinated fault ride through strategy for SCIG based WECS,” Proc. of 2nd International Conference on Computational Intelligence & Communication Technology (CICT), pp. 424–429, 2014.Google Scholar
  2. [2]
    M. Mahfouz and M. A. El-Sayed, “Static synchronous compensator sizing for enhancement of fault ride-through capability and voltage stabilisation of fixed speed wind farms,” IET Renewable Power Generation, vol. 8, no. 1, pp. 1–9, 2014.CrossRefGoogle Scholar
  3. [3]
    O. Hasnaoui and M. Allagui, “Dynamic performance improvement of wind farms equipped with three SCIG generators using STATCOM,” Journal of Energy in Southern Africa, vol. 25, no. 4, pp. 128–135, 2014.Google Scholar
  4. [4]
    M. F. Arani and Y. A.-R. I. Mohamed, “Analysis and impacts of implementing droop control in DFIG-based wind turbines on microgrid/weak-grid stability,” IEEE Transactions on Power Systems, vol. 30, no. 1, pp. 385–396, 2015.Google Scholar
  5. [5]
    N. Kumari, A. Jha, and N. Malik, “Development of wind power generation model with DFIG for varying wind speed and frequency control for wind diesel power plant,” arXiv preprint arXiv:1701.08079, 2017.Google Scholar
  6. [6]
    H. Geng, C. Liu, and G. Yang, “LVRT capability of DFIGbased WECS under asymmetrical grid fault condition,” IEEE Transactions on Industrial Electronics, vol. 60, no. 6, pp. 2495–2509, 2013.CrossRefGoogle Scholar
  7. [7]
    S. G. Varzaneh, M. Abedi, and G. Gharehpetian, “A new simplified model for assessment of power variation of DFIG-based wind farm participating in frequency control system,” Electric Power Systems Research, vol. 148, pp. 220–229, 2017.CrossRefGoogle Scholar
  8. [8]
    O. Noureldeen and A. Rashad, “Modeling and investigation of Gulf El-Zayt wind farm for stability studying during extreme gust wind occurrence,” Ain Shams Engineering Journal, vol. 5, pp. 137–148, 2014.CrossRefGoogle Scholar
  9. [9]
    R. Aggarwal and S. Kumar, “Voltage Stability Improvement of Grid Connected Wind Driven Induction Generator Using Svc,” International Journal of Engineering Research and Applications, vol. 4, pp. 102–105, 2014.Google Scholar
  10. [10]
    R. Sarrias, C. Gonzlez, L. M. Fernández, C. A. García, and F. Jurado, “Comparative study of the behavior of a wind farm integrating three different FACTS devices,” Journal of Electrical Engineering & Technology, vol. 9, no.4, pp. 1258–1268, 2014.Google Scholar
  11. [11]
    M. Firouzi, G. B. Gharehpetian, and B. Mozafari, “Application of UIPC to improve power system stability and LVRT capability of scig-based wind farms,” IET Generation, Transmission & Distribution, vol. 11, no. 9, pp. 2314–2322, 2017.CrossRefGoogle Scholar
  12. [12]
    S. Bagchi, S. Goswami, R. Bhaduri, M. Ganguly, and A. Roy, “Small signal stability analysis and comparison with DFIG incorporated system using FACTS devices,” Proc. of IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES), pp. 1–5, 2016.Google Scholar
  13. [13]
    D. Ananth and G. N. Kumar, “Fault ride-through enhancement using an enhanced field oriented control technique for converters of grid connected DFIG and STATCOM for different types of faults,” ISA Transactions, vol. 62, Special Issue: SI, pp. 2–18, 2016.Google Scholar
  14. [14]
    R. Shankar, S. Pradhan, S. Sahoo, and K. Chatterjee, “GA based improved frequency regulation characteristics for thermal-hydro-gas & DFIG model in coordination with FACTS and energy storage system,” Proc. of 3rd International Conference on Recent Advances in Information Technology (RAIT), pp. 220–225, 2016.Google Scholar
  15. [15]
    P. Bhatt, “Short term active power support from DFIG with coordinated control of SSSC and SMES in restructured power system,” Proc. of Power and Energy Engineering Conference (APPEEC), IEEE PES Asia-Pacific, pp. 1–6, 2014.Google Scholar
  16. [16]
    I. Ngamroo, “Review of DFIG wind turbine impact on power system dynamic performances,” IEEJ Transactions on Electrical and Electronic Engineering, vol. 12, no. 3, pp. 301–311, 2017.CrossRefGoogle Scholar
  17. [17]
    A. Pathak, M. Sharma, and M. Bundele, “A critical review of voltage and reactive power management of wind farms,” Renewable and Sustainable Energy Reviews, vol. 51, pp. 460–471, 2015.CrossRefGoogle Scholar
  18. [18]
    A. M. Rashad and S. Kamel, “Enhancement of hybrid wind farm performance using tuned SSSC based on multiobjective genetic algorithm,” Proc. of Eighteenth International Middle East Power Systems Conference (MEPCON), pp. 786–791, 2016.CrossRefGoogle Scholar
  19. [19]
    H. Li, C. Yang, B. Zhao, H. Wang, and Z. Chen, “Aggregated models and transient performances of a mixed wind farm with different wind turbine generator systems,” Electric Power Systems Research, vol. 92, pp. 1–10, 2012.CrossRefGoogle Scholar
  20. [20]
    L. Fernandez, C. Garcia, J. Saenz, and F. Jurado, “Equivalent models of wind farms by using aggregated wind turbines and equivalent winds,” Energy Conversion and Management, vol. 50, no. 3, pp. 691–704, 2009.CrossRefGoogle Scholar
  21. [21]
    B. Ooi and B. Lu, “C-UPFC: a new FACTs controller for midpoint sitting,” Conference Record of the International Power Electronics Conference, pp. 1947–1952, 2000.Google Scholar
  22. [22]
    B. T. Ooi, M. Kazerani, R. Marceau, Z. Wolanski, F. Galiana, D. McGillis, et al., “Mid-point siting of FACTS devices in transmission lines,” IEEE Transactions on Power Delivery, vol. 12, no. 4, pp. 1717–1722, 1997.CrossRefGoogle Scholar
  23. [23]
    S. Kamel, M. Abdel-Akher, and F. Jurado, “Improved NR current injection load flow using power mismatch representation of PV bus,” International Journal of Electrical Power & Energy Systems, vol. 53, pp. 64–68, 2013.CrossRefGoogle Scholar
  24. [24]
    A. Ajami, S. H. Hosseini, S. Khanmohammadi, and G. B. Gharehpetian, “Modeling and control of C-UPFC for power system transient studies,” Simulation Modelling Practice and Theory, vol. 14, no. 5, pp. 564–576, 2006.CrossRefGoogle Scholar
  25. [25]
    S. Kamel, F. Jurado, and R. Mihalic, “Advanced modeling of center-node unified power flow controller in NR load flow algorithm,” Electric Power Systems Research, vol. 121, pp. 176–182, 2015.CrossRefGoogle Scholar
  26. [26]
    W. T. I. Generator, “Matlab/Simulink Help,” SimPower-Systems Blocks.Google Scholar
  27. [27]
    T. Burton, N. Jenkins, D. Sharpe, and E. Bossanyi, Wind Energy Handbook, John Wiley & Sons, 2011.CrossRefGoogle Scholar
  28. [28]
    B. Wu, Y. Lang, N. Zargari, and S. Kouro, Power Conversion and Control of Wind Energy Systems, John Wiley & Sons, 2011.CrossRefGoogle Scholar
  29. [29] Scholar
  30. [30]
    M. T. Kenari, M. S. Sepasian, and M. S. Nazar, “Probabilistic voltage stability assessment of distribution networks with wind generation using combined cumulants and maximum entropy method,” International Journal of Electrical Power & Energy Systems, vol. 95, pp. 96–107, 2018.CrossRefGoogle Scholar

Copyright information

© Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Ahmed Rashad
    • 1
  • Salah Kamel
    • 2
  • Francisco Jurado
    • 1
    Email author
  • Karar Mahmoud
    • 2
  1. 1.Department of Electrical EngineeringUniversity of Jaén, EPS LinaresJaénSpain
  2. 2.Department of Electrical Engineering, Faculty of EngineeringAswan UniversityAswanEgypt

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