Variable gain control scheme of DFIG-based wind farm for over-frequency support

Abstract In order to mitigate over-frequency events in the power systems, this paper proposes a new variable gain based control strategy to maximize the frequency support while minimizing impacts to the overall energy production for a wind power plant (WPP). Because of different wind conditions, the energy production by each WT is not equally compromised by adaptively adjusting the droop gains according to the different rotor speeds so that minimal reduction of energy production can be ensured. The control performance was fully investigated in a doubly fed induction generator (DFIG) based WPP and the results clearly indicate the proposed variable droop gain scheme can harness more wind energy than the conventional same droop gain scheme while providing similar frequency support.

[1]  Li Sun,et al.  On Inertial Dynamics of Virtual-Synchronous-Controlled DFIG-Based Wind Turbines , 2015, IEEE Transactions on Energy Conversion.

[2]  Lie Xu,et al.  Control of PMSG-Based Wind Turbines for System Inertial Response and Power Oscillation Damping , 2015, IEEE Transactions on Sustainable Energy.

[3]  Hua Ye,et al.  Analytical Modeling of Inertial and Droop Responses From a Wind Farm for Short-Term Frequency Regulation in Power Systems , 2016, IEEE Transactions on Power Systems.

[4]  Eduard Muljadi,et al.  Releasable Kinetic Energy-Based Inertial Control of a DFIG Wind Power Plant , 2016, IEEE Transactions on Sustainable Energy.

[5]  Nilanjan Senroy,et al.  Primary frequency regulation by deloaded wind turbines using variable droop , 2013 .

[6]  H. H. Happ,et al.  Power System Control and Stability , 1979, IEEE Transactions on Systems, Man, and Cybernetics.

[7]  Per Munk Nielsen,et al.  Adapting and calibration of existing wake models to meet the conditions inside offshore wind farms , 2008 .

[8]  A. Mullane,et al.  Frequency control and wind turbine technologies , 2005, IEEE Transactions on Power Systems.

[9]  Wei-Ting Lin,et al.  Enhancing Frequency Response Control by DFIGs in the High Wind Penetrated Power Systems , 2011, IEEE Transactions on Power Systems.

[10]  J.A. Ferreira,et al.  Wind turbines emulating inertia and supporting primary frequency control , 2006, IEEE Transactions on Power Systems.

[11]  Kit Po Wong,et al.  A Comprehensive LVRT Control Strategy for DFIG Wind Turbines With Enhanced Reactive Power Support , 2013, IEEE Transactions on Power Systems.

[12]  Wei Zhang,et al.  Fully Distributed Coordination of Multiple DFIGs in a Microgrid for Load Sharing , 2013, IEEE Transactions on Smart Grid.

[13]  J.M. Mauricio,et al.  Frequency Regulation Contribution Through Variable-Speed Wind Energy Conversion Systems , 2009, IEEE Transactions on Power Systems.

[14]  Ke Meng,et al.  Optimal Power Sharing Control of Wind Turbines , 2017, IEEE Transactions on Power Systems.

[15]  Lieven Vandevelde,et al.  Droop Control as an Alternative Inertial Response Strategy for the Synthetic Inertia on Wind Turbines , 2016, IEEE Transactions on Power Systems.

[16]  Kit Po Wong,et al.  Advanced Control Strategies of PMSG-Based Wind Turbines for System Inertia Support , 2017, IEEE Transactions on Power Systems.

[17]  J. Højstrup,et al.  A Simple Model for Cluster Efficiency , 1987 .

[18]  Zhe Chen,et al.  Contribution of VSC-HVDC to Frequency Regulation of Power Systems With Offshore Wind Generation , 2015, IEEE Transactions on Energy Conversion.

[19]  Ken Nagasaka,et al.  Three Control Strategies to Improve the Microgrid Transient Dynamic Response During Isolated Mode: A Comparative Study , 2013, IEEE Transactions on Industrial Electronics.

[20]  Kit Po Wong,et al.  Advanced Control Strategy of DFIG Wind Turbines for Power System Fault Ride Through , 2012, IEEE Transactions on Power Systems.

[21]  Tai Nengling,et al.  Review of contribution to frequency control through variable speed wind turbine , 2011 .

[22]  Frede Blaabjerg,et al.  Stable Short-Term Frequency Support Using Adaptive Gains for a DFIG-Based Wind Power Plant , 2016, IEEE Transactions on Energy Conversion.

[23]  Damian Flynn,et al.  Emulated Inertial Response From Wind Turbines: Gain Scheduling and Resource Coordination , 2016, IEEE Transactions on Power Systems.

[24]  Jason R. Marden,et al.  A Model-Free Approach to Wind Farm Control Using Game Theoretic Methods , 2013, IEEE Transactions on Control Systems Technology.

[25]  Andrew Karl Scholbrock Optimizing Wind Farm Control Strategies to Minimize Wake Loss Effects , 2011 .