Improved VSM control of PMSG-based wind farms for transient stability enhancement

  This paper analyzes the optimal control strategy of PMSG-based wind farms during faults in order to improve the transient stability of a power system with a high penetration rate of wind power. The investigated control strategies are the unity power factor (UPF), reactive power control (RPC), and particularly the concept of virtual synchronous machine (VSM). The transient stability level is assessed using the critical clearing time index, which was calculated based on trajectory sensitivity analysis. In light of the obtained results, it was found that RPC gives the best transient stability level, followed by the classical VSM control. Hence, an improved VSM control was proposed based on the transient model of a synchronous generator. The improved VSM has shown a behavior similar to a real synchronous generator, which results in better transient stability performances.

___

  • IRENA. Renewable Capacity Statistics 2017. Abu Dhabi, UAE: International Renewable Energy Agency, 2017.
  • Zhi W, Shien H. Comparative analysis on critical clearing time of power system connected with large wind farm. In: International Conference on Advanced Power System Automation and Protection; 2011; Beijing, China.
  • Gounder Y, Nanjundappan D, Boominathan V. Enhancement of transient stability of distribution system with SCIG and DFIG based wind farms using STATCOM. IET Renew Power Gen 2016; 10: 1171-1180.
  • Akhmatov V. System stability of large wind power networks: a Danish study case. Int J Elec Power 2005; 28: 48-57.
  • Moradzadeh M, Shayeghi H, Vandevelde L, Saif M. Impact of increased penetration of large-scale wind farms on power system dynamic stability - a review. In: IEEE 15th International Conference on Environment and Electrical Engineering; 2015; Rome, Italy.
  • Liu S, Li G, Zhou M. Power system transient stability analysis with integration of DFIGs based on center of inertia. CSEE Journal of Power and Energy Systems 2016; 2: 1120-1121.
  • Gautam D, Vittal V, Harbour T. Impact of increased penetration of DFIG-based wind turbine generators on transient and small signal stability of power systems. IEEE T Power Syst 2009; 24: 1426-1434.
  • Vittal E, O’Malley M, Keane A. Rotor angle stability with high penetrations of wind generation. IEEE T Power Syst 2012; 27:353-362.
  • Mitra A, Chatterjee D. A new sensitivity based approach to study the impact of wind power penetration on transient stability. In: IEEE International Conference on Power Electronics, Drives and Energy Systems; 2012; Bengaluru, India.
  • Liu Z, Liu C, Li G, Liu Y, Liu Y. Impact study of PMSG-based wind power penetration on power system transient stability using EEAC theory. Energies 2015; 8: 13419-13441.
  • Shang L, Hu J, Yuan X, Chi Y. Understanding inertial response of variable-speed wind turbines by defined internal potential vector. Energies 2017; 10: 22.
  • Driesen J, Visscher K. Virtual synchronous generators. In: IEEE Power and Energy Society General Meeting; 2008; Pittsburgh, PA, USA.
  • Mathisen ER. Application of virtual synchronous machines for integration of offshore wind turbines into the power system of offshore oil and gas platforms. PhD, Norwegian University of Science and Technology, Trondheim, Norway, 2016.
  • Jaber A, Yushi M, Toshifumi I. Power system stabilization using virtual synchronous generator with alternating moment of inertia. IEEE J Em Sel Top C 2015; 3: 451-458.
  • Yi W, Jianhhui M, Xiangyu Z, Lie X. Control of PMSG-based wind turbines for system inertial response and power oscillation damping. IEEE T Sustain Energ 2015; 6: 565-574.
  • Yiwei M, Wenchao C, Liu Y, Fred W, Leon MT. Virtual synchronous generator control of full converter wind turbines with short term energy storage. IEEE T Ind Electron 2017; 64: 8821-8831.
  • Chatterjee D, Ghosh A. Improvement of transient stability of power systems with STATCOM-controller using trajectory sensitivity. Int J Elec Power 2011; 33: 531-539.
  • Nasri A, Eriksson R, Ghandhari M. Using trajectory sensitivity analyses to find suitable locations of series com- pensators for improving rotor angle stability. Electr Pow Syst Res 2014; 2; 1-8.
  • Padyar K. Power System Dynamics Stability and Control. Delhi, India: C Publications, 2008.
  • Sauer PW, Pai MA. Power System Dynamics and Stability. Upper Saddle River, NJ, USA: Prentice Hall, 1998.
  • Kundur P. Power System Stability and Control. New York, NY, USA: McGraw-Hill, 1994.
  • Hao ZH, Yu YX, Zeng Y. Transient performance of DFIG power angle in wind farm and its control strategy. Electr Power Aut Equi 2011; 31: 79–83.
  • Irevani R, Yazdani A. Voltage Sourced-Converter in Power System. Modeling, Control and Application. Hoboken, NJ, USA: Wiley, 2010.
  • D’Arco S, Are Suul J, Fosso OB. A virtual synchronous machine implementation for distributed control of power converters in SmartGrids. Electr Pow Syst Res 2015; 122: 180-197.
  • Pai MA, Nguyen TB. Trajectory sensitivity theory in nonlinear dynamical systems: some power system applications. In: Derong L, Panos JA, editors. Stability and Control of Dynamical Systems with Applications. Boston, MA, USA: Birkhauser, 2003, pp. 271-292.
  • Laufenberg MJ, Pai MA. A new approach to dynamic security assessment using trajectory sensitivities. IEEE T Power Syst 1998; 13: 953–958.