A New DPC-SVM for Matrix Converter Used in Wind Energy Conversion System Based on Multiphase Permanent Magnet Synchronous Generator

This paper proposes a novel wind energy conversion system based on a Fivephase Permanent Magnetic Synchronous Generator (5-PMSG) and a Five to three Matrix Converter (5-3MC). The low cost and volume and also eliminating grid side converter controller are attractive aspects of the proposed topology compared to the conventional with back-to-back converters. The control of active and reactive power injected to the grid from the proposed system is carried out by a Direct Power Control (DPC) combined with a Space Vector Modulation (SVM). An advantage of this control, compared with the Conventional Direct Power Control (C-DPC) method, is that it eliminates the lookup table and lowers grid powers and currents harmonics through the use of a standard PI controller instead of hysteresis comparators. The efficiency of proposed whole system has been simulated by using MATLAB/Simulink environment.

[1]  R. Iravani,et al.  Dynamic model of a matrix converter for controller design and system studies , 2006, IEEE Transactions on Power Delivery.

[2]  P. Gajewski,et al.  Direct Torque Control and Direct Power Control of wind turbine system with PMSG , 2016 .

[3]  Michel Aillerie,et al.  Multiphase Wind Energy Conversion Systems Based on Matrix Converter , 2016 .

[4]  L. Nezli,et al.  A modified PWM three intervals control for a matrix converter in real time , 2014 .

[5]  Ahmed Abbou,et al.  Vector control of five-phase Permanent Magnet Synchronous Generator based variable-speed wind turbine , 2017, 2017 International Conference on Wireless Technologies, Embedded and Intelligent Systems (WITS).

[6]  W. Marsden.  I and J , 2012 .

[7]  L. Nezli,et al.  High Performances of Five–Phase Induction Machine Feeding by A [3 × 5] Matrix Converter , 2014 .

[8]  Piotr Gajewski,et al.  Advanced control of direct-driven PMSG generator in wind turbine system , 2016 .

[9]  Abdel-Raheem Youssef,et al.  Model Predictive Speed Control of Five-Phase PMSG Based Variable Speed Wind Generation System , 2018, 2018 Twentieth International Middle East Power Systems Conference (MEPCON).

[10]  Lie Xu,et al.  Direct active and reactive power control of DFIG for wind energy generation , 2006, IEEE Transactions on Energy Conversion.

[11]  Jorge O. Estima,et al.  A Comparative Analysis of PMSG Drives Based on Vector Control and Direct Control Techniques for Wind Turbine Applications , 2012 .

[12]  Abdel-Raheem Youssef,et al.  MPPT Control Technique for Direct-Drive Five-Phase PMSG Wind Turbines with Wind Speed Estimation , 2015 .

[13]  Hong-Hee Lee,et al.  Development of a Three-to-Five-Phase Indirect Matrix Converter With Carrier-Based PWM Based on Space-Vector Modulation Analysis , 2016, IEEE Transactions on Industrial Electronics.

[14]  Wei Qiao,et al.  An Adaptive Network-Based Reinforcement Learning Method for MPPT Control of PMSG Wind Energy Conversion Systems , 2016, IEEE Transactions on Power Electronics.

[15]  Mahdi Jafari,et al.  A novel DTC-SVM approach for two parallel-connected induction motors fed by matrix converter , 2018 .

[16]  Jamel Belhadj,et al.  PMSG Gear-Less Wind Turbine Equipped with an Active and Reactive Power supervisory , 2014 .

[17]  Mohammad Rezanejad,et al.  Direct torque control space vector modulation of five-phase interior permanent magnet synchronous motor using matrix converter , 2015 .

[18]  R. Datta,et al.  Direct power control of grid-connected wound rotor induction machine without rotor position sensors , 2001 .

[19]  László Számel,et al.  Improved Modified DTC-SVM Methods for Increasing the Overload-capability of Permanent Magnet Synchronous Motor Servo- and Robot Drives – Part 1 , 2018 .

[20]  F. Blaabjerg,et al.  A new modulation method for matrix converters , 2001, Conference Record of the 2001 IEEE Industry Applications Conference. 36th IAS Annual Meeting (Cat. No.01CH37248).

[21]  Alireza Bakhshai,et al.  An Energy Management Scheme With Power Limit Capability and an Adaptive Maximum Power Point Tracking for Small Standalone PMSG Wind Energy Systems , 2016, IEEE Transactions on Power Electronics.