An Integrated Power Smoothing Control for a Grid-Interactive Wind Farm Considering Wake Effects

This paper presents a power smoothing control scheme for a permanent-magnet-synchronous-generator-based wind farm considering wake effects. The integrated power smoothing method consists of a pitch angle control system, a kinetic wind-energy turbine inertia control system, and a dc-link voltage control system. Low frequency range power fluctuations caused by wind speed variations are smoothed by the pitch angle control system and the kinetic wind-energy turbine inertia control system. Power fluctuations in the high frequency range are smoothed by the dc-link voltage control system. This power smoothing approach is cost-effective because the power smoothing is made possible without additional energy storage devices. In addition, the wake effects of the wind farm are considered for power smoothing with different tower spaces. The proposed method is compared with the conventional maximum-power-point-tracking method. Simulation results confirm the proposed method efficacy in smoothing the power injected by a wind farm.

[1]  T Senjyu,et al.  A Coordinated Control Method to Smooth Wind Power Fluctuations of a PMSG-Based WECS , 2011, IEEE Transactions on Energy Conversion.

[2]  Gengyin Li,et al.  Modeling of the Wind Turbine with a Permanent Magnet Synchronous Generator for Integration , 2007, 2007 IEEE Power Engineering Society General Meeting.

[3]  Hassan Bevrani,et al.  Fuzzy Logic-Based Load-Frequency Control Concerning High Penetration of Wind Turbines , 2012, IEEE Systems Journal.

[4]  S.M. Muyeen,et al.  A Variable Speed Wind Turbine Control Strategy to Meet Wind Farm Grid Code Requirements , 2010, IEEE Transactions on Power Systems.

[5]  Jon Are Suul,et al.  Extending the Life of Gear Box in Wind Generators by Smoothing Transient Torque With STATCOM , 2010, IEEE Transactions on Industrial Electronics.

[6]  M. A. Chowdhury,et al.  Smoothing wind power fluctuations by fuzzy logic pitch angle controller , 2012 .

[7]  Shigeo Morimoto,et al.  Sensorless output maximization control for variable-speed wind generation system using IPMSG , 2003 .

[8]  Marco Liserre,et al.  Overview of Multi-MW Wind Turbines and Wind Parks , 2011, IEEE Transactions on Industrial Electronics.

[9]  Geng Yang,et al.  Active Damping for PMSG-Based WECS With DC-Link Current Estimation , 2011, IEEE Transactions on Industrial Electronics.

[10]  P. Ramanathan A Statcom-Control Scheme for Grid Connected Wind Energy System for Power Quality Improvement , 2014 .

[11]  T. Funabashi,et al.  Output power leveling of wind turbine generator by pitch angle control using adaptive control method , 2004, 2004 International Conference on Power System Technology, 2004. PowerCon 2004..

[12]  Atsushi Yona,et al.  Output Power Leveling of a Wind Generation System Using Inertia of a Wind Turbine , 2008, 2008 IEEE International Conference on Sustainable Energy Technologies.

[13]  Rashad M. Kamel,et al.  Wind power smoothing using fuzzy logic pitch controller and energy capacitor system for improvement Micro-Grid performance in islanding mode , 2010 .

[14]  Roberto Cárdenas,et al.  Control strategies for power smoothing using a flywheel driven by a sensorless vector-controlled induction machine operating in a wide speed range , 2004, IEEE Transactions on Industrial Electronics.

[15]  João P. S. Catalão,et al.  Optimal Offering Strategies for Wind Power Producers Considering Uncertainty and Risk , 2012, IEEE Systems Journal.

[16]  Fangxing Li,et al.  Coordinated Tuning of DFIG-Based Wind Turbines and Batteries Using Bacteria Foraging Technique for Maintaining Constant Grid Power Output , 2012, IEEE Systems Journal.

[17]  Andreas Sumper,et al.  Power generation efficiency analysis of offshore wind farms connected to a SLPC (single large power converter) operated with variable frequencies considering wake effects , 2012 .

[18]  Tomonobu Senjyu,et al.  Fuzzy controller based output power leveling enhancement for a permanent magnet synchronous generator , 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

[19]  Tomonobu Senjyu,et al.  A fuzzy control strategy for power smoothing and grid dynamic response enrichment of a grid‐connected wind energy conversion system , 2013 .

[20]  Wei Li,et al.  Real-Time Simulation of a Wind Turbine Generator Coupled With a Battery Supercapacitor Energy Storage System , 2010, IEEE Transactions on Industrial Electronics.

[21]  Adel Nasiri,et al.  Output Power Smoothing for Wind Turbine Permanent Magnet Synchronous Generators Using Rotor Inertia , 2008 .

[22]  P.W. Lehn,et al.  Control Methodology to Mitigate the Grid Impact of Wind Turbines , 2007, IEEE Transactions on Energy Conversion.

[23]  Stavros A. Papathanassiou,et al.  A review of grid code technical requirements for wind farms , 2009 .

[24]  Tomonobu Senjyu,et al.  A fuzzy-based output power smoothing of WECS using short-term ahead prediction of wind speed , 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

[25]  Tomonobu Senjyu,et al.  Output power leveling of wind turbine Generator for all operating regions by pitch angle control , 2006 .