A novel speed-sensorless adaptive hill climbing algorithm for fast and efficient maximum power point tracking of wind energy conversion systems

This research paper proposes a novel solution to the problems that exists in the normal hill climb searching (HCS) maximum power point tracking (MPPT) algorithm for wind energy conversion systems (WECS). The solution presented not only solves the tracking speed vs. control efficiency tradeoff problem of HCS but also makes sure that the changing wind conditions shouldnpsilat lead HCS in the wrong direction. It intelligently adapts the variable step size to keep up with the rapid changes in the wind. Plus it has a self tuning capability to copes with the non constant efficiencies of the generator-converter subsystem. The new control law requires neither mechanical sensors nor any prior knowledge of the system and thus it can work with any kind of WECS. The experimental results obtained confirm that the proposed algorithm is remarkably faster and efficient than the normal one.

[1]  M. E. Ropp,et al.  Comparative study of maximum power point tracking algorithms , 2003 .

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

[3]  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).

[4]  Kenji Nakamura,et al.  Three-Phase Reluctance Generator with Permanent Magnets Buried in Stator Core , 2006, 2006 12th International Power Electronics and Motion Control Conference.

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

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

[7]  Hai-Jiao Guo,et al.  A novel algorithm for fast and efficient maximum power point tracking of wind energy conversion systems , 2008, 2008 18th International Conference on Electrical Machines.

[8]  G. Petrone,et al.  Predictive & Adaptive MPPT Perturb and Observe Method , 2007, IEEE Transactions on Aerospace and Electronic Systems.

[9]  David A. Torrey,et al.  Switched reluctance generators and their control , 2002, IEEE Trans. Ind. Electron..

[10]  Liuchen Chang,et al.  An intelligent maximum power extraction algorithm for inverter-based variable speed wind turbine systems , 2004 .