Maximum Power Point Tracking in Grid Connected Wind Plant by Using Intelligent Controller and Switched Reluctance Generator

This paper presents intelligent controllers as a maximum power point tracking system for a switched reluctance generator (SRG) driven by a variable speed wind turbine to attain the maximum power. The intelligent controller systems are artificial neural network (ANN) controller and fuzzy logic (FL) controller. Both controllers manipulate the wind turbine rotational speed by changing turn-off angle of the SRG. The turn on angle is fixed. The wind plant is connected to the grid through a DC–AC inverter system and two step up power transformers. The systems are simulated in MATLAB/ Simulink environment. The results show that the ANN controller is more accurate and efficient than the FL controller.

[1]  M. Nagrial,et al.  Study on excitation control of Switched Reluctance Generator for wind energy conversion , 2008, 2008 Australasian Universities Power Engineering Conference.

[2]  K. H. Ahmed,et al.  A New Maximum Power Point Tracking Technique for Permanent Magnet Synchronous Generator Based Wind Energy Conversion System , 2011, IEEE Transactions on Power Electronics.

[3]  Olimpo Anaya-Lara,et al.  Wind Energy Generation: Modelling and Control , 2009 .

[4]  Roberto Cardenas,et al.  Power limitation in variable speed wind turbines with fixed pitch angle , 1996 .

[5]  D.S. Zinger,et al.  Voltage feedback signal conditioning in switched reluctance generation systems , 2000, APEC 2000. Fifteenth Annual IEEE Applied Power Electronics Conference and Exposition (Cat. No.00CH37058).

[6]  Francisco Jose Pérez-Cebolla,et al.  Design, Characterization, and Validation of a 1-kW AC Self-Excited Switched Reluctance Generator , 2014, IEEE Transactions on Industrial Electronics.

[7]  A. J. Pires,et al.  Scale models formulation of switched reluctance generators for low speed energy converters , 2015 .

[8]  R. Cardenas,et al.  Switched reluctance generators for wind energy applications , 1995, Proceedings of PESC '95 - Power Electronics Specialist Conference.

[9]  M. F. Rahman,et al.  Dynamic modeling of a four-phase 8/6 switched reluctance motor using current and torque look-up tables , 2002, IEEE 2002 28th Annual Conference of the Industrial Electronics Society. IECON 02.

[10]  J. Clare,et al.  Control system for grid generation of a switched reluctance generator driven by a variable speed wind turbine , 2004, 30th Annual Conference of IEEE Industrial Electronics Society, 2004. IECON 2004.

[11]  Hany M. Hasanien,et al.  Speed control of grid-connected switched reluctance generator driven by variable speed wind turbine using adaptive neural network controller , 2012 .

[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]  M. Liserre,et al.  Stability of photovoltaic and wind turbine grid-connected inverters for a large set of grid impedance values , 2006, IEEE Transactions on Power Electronics.

[14]  Ahmed Al-Durra,et al.  $LCL$ Filter Design and Performance Analysis for Grid-Interconnected Systems , 2014, IEEE Transactions on Industry Applications.

[15]  Vijay Vittal,et al.  Impact of increased penetration of DFIG based wind turbine generators on transient and small signal stability of power systems , 2009, IEEE PES General Meeting.

[16]  Istvan Erlich,et al.  Doubly Fed Induction Generator Controller Design for the Stable Operation in Weak Grids , 2015, IEEE Transactions on Sustainable Energy.

[17]  Roberto Cárdenas,et al.  Sensorless Control for a Switched Reluctance Wind Generator, Based on Current Slopes and Neural Networks , 2009, IEEE Transactions on Industrial Electronics.

[18]  A. Pires,et al.  The Switched Reluctance Generator for Wind Power Conversion , 2005 .

[19]  Ying Hua Han,et al.  Grid Integration of Wind Energy Conversion Systems , 2000 .

[20]  Li Lin,et al.  Comparison of Transient Stability between Wind Farm Based on DFIG and Traditional Power Plant in an Actual Grid , 2010, 2010 Asia-Pacific Power and Energy Engineering Conference.

[21]  Christos Mademlis,et al.  Optimal efficiency control of switched reluctance generators , 2006, IEEE Transactions on Power Electronics.

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

[23]  中村 健二.  Dynamic Simulation Model of Switched Reluctance Generator , 2003 .

[24]  Lie Xu,et al.  A novel algorithm of switched reluctance generator for maximum power point tracking in wind turbine application , 2009, 2009 International Conference on Sustainable Power Generation and Supply.

[25]  M. Dicorato,et al.  Wind farm stability analysis in the presence of variable-speed generators , 2012 .

[26]  J. Clare,et al.  Control of a switched reluctance generator for variable-speed wind energy applications , 2005, IEEE Transactions on Energy Conversion.

[27]  Da-Woon Choi,et al.  A Study on the Maximum Power Control Method of Switched Reluctance Generator for Wind Turbine , 2014, IEEE Transactions on Magnetics.