A Novel Sliding Mode Control Scheme for a PMSG-Based Variable Speed Wind Energy Conversion System

This work proposes a novel control scheme for a variable speed wind turbine system based on the permanent magnet synchronous generator. Regions II and III for a wind speed profile are considered, hence the control is designed for maximizing the generated power from the wind turbine when the wind speed is below the nominal wind speed, and to saturate the generated power when the wind speed is above its nominal value in order to avoid damage to the system. Based on nonlinear models, the control scheme is also designed for introducing robustness to the closed-loop system. The pitch angle reference signal is also designed based on a mathematical model of the system, yielding in that way to a great performance of the wind turbine as predicted by the numeric simulations.

[1]  Stefano Di Gennaro,et al.  Sensorless High Order Sliding Mode Control of Induction Motors With Core Loss , 2014, IEEE Transactions on Industrial Electronics.

[2]  Nadeem Javaid,et al.  An Optimized Home Energy Management System with Integrated Renewable Energy and Storage Resources , 2017 .

[3]  A. Levant.  Robust exact differentiation via sliding mode technique , 1998 .

[4]  Juan Li,et al.  Output Predictor-Based Active Disturbance Rejection Control for a Wind Energy Conversion System With PMSG , 2017, IEEE Access.

[5]  V. Agarwal,et al.  A Novel Scheme for Rapid Tracking of Maximum Power Point in Wind Energy Generation Systems , 2010, IEEE Transactions on Energy Conversion.

[6]  Jianhua Zhang,et al.  Generalized Energy Flow Analysis Considering Electricity Gas and Heat Subsystems in Local-Area Energy Systems Integration , 2017 .

[7]  C. Schram,et al.  Wind-Turbine Model for System Simulations Near Cut-In Wind Speed , 2007, IEEE Transactions on Energy Conversion.

[8]  Gerry Moschopoulos,et al.  Performance evaluation of yaw and stall control for small-scale variable speed wind turbines , 2017, 2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE).

[9]  Leonid M. Fridman,et al.  Implementation of Super-Twisting Control: Super-Twisting and Higher Order Sliding-Mode Observer-Based Approaches , 2016, IEEE Transactions on Industrial Electronics.

[10]  V. Vanitha,et al.  PMSG based standalone wind electric conversion system with MPPT , 2016, 2016 International Conference on Emerging Technological Trends (ICETT).

[11]  Rachid Beguenane,et al.  Performance comparison of variable speed PMSG-based wind energy conversion system control algorithms , 2017, 2017 Twelfth International Conference on Ecological Vehicles and Renewable Energies (EVER).

[12]  Saravanakumar Rajendran,et al.  Backstepping Sliding Mode Control for variable speed wind turbine , 2014, 2014 Annual IEEE India Conference (INDICON).

[13]  Mohammed Ouassaid,et al.  Sliding Mode Control Scheme of Variable Speed Wind Energy Conversion System Based on the PMSG for Utility Network Connection , 2015, Advances and Applications in Sliding Mode Control Systems.

[14]  Sbita Lassaad,et al.  Pitch angle control of the variable speed wind turbine , 2016, 2016 17th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA).

[15]  B. Castillo-Toledo,et al.  Tracking through singularities using a robust differentiator , 2009, 2009 6th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE).

[16]  Jorge Rivera,et al.  Super-Twisting Sliding Mode in Motion Control Systems , 2011 .

[17]  Jorge Rivera,et al.  Robust Control of the Air to Fuel Ratio in Spark Ignition Engines with Delayed Measurements from a UEGO Sensor , 2015 .

[18]  Ming Cheng,et al.  Pitch angle control for variable speed wind turbines , 2008, 2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies.

[19]  Quan Chen,et al.  Bumpless Transfer-Based Inter-Region Controller Switching of Wind Turbines for Reducing Power and Load Fluctuation , 2016, IEEE Transactions on Sustainable Energy.

[20]  Shahriar Shafiee,et al.  When will fossil fuel reserves be diminished , 2009 .

[21]  Bin Wu,et al.  Power Conversion and Control of Wind Energy Systems , 2011 .