Experimental modeling and control of a small wind PMSG turbine

In this paper we discuss the analysis, the modeling and the control of a small autonomous wind turbine with variable speed in order to use it in an isolated site. First of all; on the basis of the experimental tests; we characterized and modeled a small wind turbine with a Permanent Magnet Synchronous Generator PMSG and an internal rectifier. Second, on the one hand, we have proposed a numeric control "Perturb and Observe" (P&O) in order to work at various wind speeds and to optimize the power generated by the wind turbine, and on the other hand we have controlled the flow of the transmitted power. The formal model of the generator has been validated, and the results of the different simulations of the whole conversion chain using the environment MATLAB/Simulink, allowed us to evaluate the performance of the suggested system.

[1]  Yong Kang,et al.  A Variable Step Size INC MPPT Method for PV Systems , 2008, IEEE Transactions on Industrial Electronics.

[2]  Mohammad A. S. Masoum,et al.  Closure on "Theoretical and experimental analyses of photovoltaic systems with voltage and current-based maximum power point tracking" , 2002 .

[3]  Kostas Kalaitzakis,et al.  Development of a microcontroller-based, photovoltaic maximum power point tracking control system , 2001 .

[4]  Weidong Xiao,et al.  A modified adaptive hill climbing MPPT method for photovoltaic power systems , 2004, 2004 IEEE 35th Annual Power Electronics Specialists Conference (IEEE Cat. No.04CH37551).

[5]  Mohammed Ouassaid,et al.  Control of a PMSG based wind energy generation system for power maximization and grid fault conditions , 2013 .

[6]  M. Masoum,et al.  Theoretical and Experimental Analyses of Photovoltaic Systems with Voltage and Current-Based Maximum Power Point Tracking , 2002, IEEE Power Engineering Review.

[7]  A. Rabhi,et al.  A STAND-ALONE SYSTEM ENERGY HYBRID COMBINING WIND AND PHOTOVOLTAIC WITH VOLTAGE CONTROL « FEEDBACK LOOP VOLTAGE » , 2010 .

[8]  Chia-Yu Chang,et al.  A Maximum Power Point Tracking of PV System by Scaling Fuzzy Control , 2010 .

[9]  P. Sirisuk,et al.  FPGA Implementation of MPPT Using Variable Step-Size P&O Algorithm for PV Applications , 2006, 2006 International Symposium on Communications and Information Technologies.

[10]  Takashi Hiyama,et al.  Identification of optimal operating point of PV modules using neural network for real time maximum power tracking control , 1995 .

[11]  Tomonobu Senjyu,et al.  Neural-network-based maximum-power-point tracking of coupled-inductor interleaved-boost-converter-supplied PV system using fuzzy controller , 2003, IEEE Trans. Ind. Electron..

[12]  Chih-Ming Hong,et al.  Maximum power point tracking-based control algorithm for PMSG wind generation system without mechanical sensors , 2013 .

[13]  P. Sirisuk,et al.  RISC-microcontroller built-in fuzzy logic controller of maximum power point tracking for solar-powered light-flasher applications , 2004, 30th Annual Conference of IEEE Industrial Electronics Society, 2004. IECON 2004.

[14]  F. Blaabjerg,et al.  Improved MPPT method for rapidly changing environmental conditions , 2006, 2006 IEEE International Symposium on Industrial Electronics.

[15]  M. Vitelli,et al.  Optimization of perturb and observe maximum power point tracking method , 2005, IEEE Transactions on Power Electronics.

[16]  Yu Zhang,et al.  Comparison of P&O and hill climbing MPPT methods for grid-connected PV converter , 2008, 2008 3rd IEEE Conference on Industrial Electronics and Applications.

[17]  Saad Mekhilef,et al.  A novel MPPT algorithm for load protection based on output sensing control , 2011, 2011 IEEE Ninth International Conference on Power Electronics and Drive Systems.

[18]  . B.Tech,et al.  Design and Modelling of PV system and Different MPPT algorithms , 2013 .