${\cal L}_1$ Adaptive Speed Control of a Small Wind Energy Conversion System for Maximum Power Point Tracking

This paper presents the design of an L1 adaptive controller for maximum power point tracking (MPPT) of a small variable speed wind energy conversion system (WECS). The proposed controller generates the optimal torque command for the vector-controlled generator-side converter based on the wind speed estimation. The proposed MPPT control algorithm has a generic structure and can be used for different generator types. In order to verify the efficacy of the proposed L1 adaptive controller for the MPPT of the WECS, a full converter wind turbine with a squirrel cage induction generator is used to carry out case studies using MATLAB/Simulink. The case study results show that the designed L1 adaptive controller has good tracking performance even with unmodeled dynamics and in the presence of parameter uncertainties and unknown disturbances.

[1]  M. Kazerani,et al.  Maximum Power Tracking Control for a Wind Turbine System Including a Matrix Converter , 2009, IEEE Transactions on Energy Conversion.

[2]  Nadejda Komendantova,et al.  Renewables 2012 Global Status Report , 2012 .

[3]  Naira Hovakimyan,et al.  L1 Adaptive Control Theory - Guaranteed Robustness with Fast Adaptation , 2010, Advances in design and control.

[4]  Mehrdad Kazerani,et al.  Maximum power tracking control for a wind turbine system including a matrix converter , 2009, 2009 IEEE Power & Energy Society General Meeting.

[5]  Rupp Carriveau,et al.  Fundamental and Advanced Topics in Wind Power , 2011 .

[6]  Kostas Kalaitzakis,et al.  Design of a maximum power tracking system for wind-energy-conversion applications , 2006, IEEE Transactions on Industrial Electronics.

[7]  Ching-Tsai Pan,et al.  A Novel Sensorless MPPT Controller for a High-Efficiency Microscale Wind Power Generation System , 2010, IEEE Transactions on Energy Conversion.

[8]  Lucy Pao,et al.  Optimal Control of Wind Energy Systems: Towards a Global Approach (Munteanu, I. et al.; 2008) [Bookshelf] , 2009, IEEE Control Systems.

[9]  Bimal K. Bose,et al.  Modern Power Electronics and AC Drives , 2001 .

[10]  L. Valavani.  Review of "L1 Adaptive Control Theory: Guaranteed Robustness with Fast Adaptation" , 2011 .

[11]  Hui Li,et al.  Neural-network-based sensorless maximum wind energy capture with compensated power coefficient , 2004, IEEE Transactions on Industry Applications.

[12]  Jih-Sheng Lai,et al.  Design and Analysis of an MPPT Technique for Small-Scale Wind Energy Conversion Systems , 2013, IEEE Transactions on Energy Conversion.

[13]  Bin Wu,et al.  Unified Power Control for PMSG-Based WECS Operating Under Different Grid Conditions , 2011, IEEE Transactions on Energy Conversion.

[14]  V. T. Ranganathan,et al.  A Method of Tracking the Peak Power Points for a Variable Speed Wind Energy Conversion System , 2002, IEEE Power Engineering Review.

[15]  Vasilis Fthenakis,et al.  Land use and electricity generation: A life-cycle analysis , 2009 .

[16]  Naira Hovakimyan,et al.  Multi-Criteria Optimization for Filter Design of L1 Adaptive Control , 2014, J. Optim. Theory Appl..

[17]  J.H.R. Enslin,et al.  Performance optimization for doubly-fed wind power generation systems , 1998, Conference Record of 1998 IEEE Industry Applications Conference. Thirty-Third IAS Annual Meeting (Cat. No.98CH36242).

[18]  T. Ahmed-Ali,et al.  Second-Order Sliding Mode Control of a Doubly Fed Induction Generator Driven Wind Turbine , 2012, IEEE Transactions on Energy Conversion.

[19]  Zhe Chen,et al.  A Review of the State of the Art of Power Electronics for Wind Turbines , 2009, IEEE Transactions on Power Electronics.

[20]  Xu Yang,et al.  Wind Speed and Rotor Position Sensorless Control for Direct-Drive PMG Wind Turbines , 2010, IEEE Transactions on Industry Applications.

[21]  S. Bacha,et al.  Energy-Reliability Optimization of Wind Energy Conversion Systems by Sliding Mode Control , 2008, IEEE Transactions on Energy Conversion.

[22]  Dong-Choon Lee,et al.  Maximum Output Power Tracking Control in Variable-Speed Wind Turbine Systems Considering Rotor Inertial Power , 2013, IEEE Transactions on Industrial Electronics.

[23]  Liuchen Chang,et al.  An intelligent maximum power extraction algorithm for inverter-based variable speed wind turbine systems , 2004, IEEE Transactions on Power Electronics.

[24]  A.E. Leon,et al.  An Adaptive Nonlinear Controller for DFIM-Based Wind Energy Conversion Systems , 2008, IEEE Transactions on Energy Conversion.

[25]  Naira Hovakimyan,et al.  Comparison of architectures and robustness of model reference adaptive controllers and L1  adaptive controllers , 2014 .

[26]  Bimal K. Bose,et al.  Fuzzy logic based intelligent control of a variable speed cage machine wind generation system , 1995 .

[27]  Naira Hovakimyan,et al.  Design and Analysis of a Novel ${\cal L}_1$ Adaptive Control Architecture With Guaranteed Transient Performance , 2008, IEEE Transactions on Automatic Control.

[28]  A. Piccolo,et al.  Designing an Adaptive Fuzzy Controller for Maximum Wind Energy Extraction , 2008, IEEE Transactions on Energy Conversion.

[29]  Rafael Wisniewski,et al.  Estimation of Rotor Effective Wind Speed: A Comparison , 2013, IEEE Transactions on Control Systems Technology.

[30]  Dong-Choon Lee,et al.  MPPT Control of Wind Generation Systems Based on Estimated Wind Speed Using SVR , 2008, IEEE Transactions on Industrial Electronics.

[31]  Frede Blaabjerg,et al.  Operation and control of large wind turbines and wind farms , 2005 .

[32]  Chengyu Cao,et al.  Stability Margins of ${\cal L}_{1}$ Adaptive Control Architecture , 2010, IEEE Transactions on Automatic Control.

[33]  Freyr Sverrisson,et al.  Renewables 2014 : global status report , 2014 .

[34]  Jih-Sheng Lai,et al.  New Overall Control Strategy for Small-Scale WECS in MPPT and Stall Regions With Mode Transfer Control , 2013, IEEE Transactions on Energy Conversion.

[35]  Ankur Tripathi,et al.  DESIGN OF A MAXIMUM POWER TRACKING SYSTEM FOR WIND ENERGY-CONVERSION APPLICATIONS , 2014 .