A Proposed Intelligent Adaptive Controllers for Wind Turbine Driving DFIG for Improving the Output Generated Power

Renewable energy resources are considered as an important topic these days and in the near future due to the climate changes and environmental issues. Wind energy is promising to reduce the production of CO2 emission. The wind power is fluctuating and intermittent due to the wind speed fluctuation. Adjusting the generated output power is not an easy issue unless we have an intelligent system. This work is proposing intelligent adaptive controllers to improve the quality of the wind output power generated. The proposed controllers are of proportional integrals types, but they are intelligent and adaptable. They take their signals from the wind speed, wind power generated and the required nominal wind output power. Depending on these signals the controllers parameters are adjusted to improve the quality of the generated output power. These controllers are tested using Simulink/Matlab. The results prove the effectiveness of the proposed controllers in improving the generated output wind power. The wind turbine with these proposed controllers could work under different severe conditions.

[1]  M. E. El-Hawary,et al.  Comparative Study of Stability Range of Proposed PI Controllers for Tidal Current Turbine Driving DFIG , 2013 .

[2]  I. Erlich,et al.  Modeling of Wind Turbines Equipped with Doubly-Fed Induction Machines for Power System Stability Studies , 2006, 2006 IEEE PES Power Systems Conference and Exposition.

[3]  G. Destouni,et al.  Renewable Energy , 2010, AMBIO.

[4]  Hamed Aly.  FORECASTING, MODELING, AND CONTROL OF TIDAL CURRENTS ELECTRICAL ENERGY SYSTEMS , 2012 .

[5]  U. Wagner,et al.  Effects of Wind Energy on Thermal Power Plants , 2007, 2007 International Conference on Clean Electrical Power.

[6]  J. Morren,et al.  Ridethrough of wind turbines with doubly-fed induction generator during a voltage dip , 2005, IEEE Transactions on Energy Conversion.

[7]  S. Arnalte,et al.  Automatic Generation Control of a Wind Farm with Variable Speed Wind Turbines , 2002, IEEE Power Engineering Review.

[8]  M. E. El-Hawary,et al.  The current status of wind and tidal in-stream electric energy resources , 2013 .

[9]  Hamed H.H. Aly,et al.  Dynamic modeling and control of the tidal current turbine using DFIG and DDPMSG for power system stability analysis , 2016 .

[10]  Mohamed E. El-Hawary,et al.  State of the art for tidal currents electric energy resources , 2011, 2011 24th Canadian Conference on Electrical and Computer Engineering(CCECE).

[11]  Hamed H. H. Aly,et al.  Stability and control of tidal current energy with DFIG using PI controllers , 2012, 2012 25th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE).