Asian Journal of Scientific Research1992-14542077-2076Asian Network for Scientific Information10.3923/ajsr.2014.45.55GovindarajanNallavan Dhanasekaran Raghavan 1201471Wind energy has potential growth in the energy market and plays vital role
to achieve the sustainable energy across the globe. Various control strategies
for the speed and power control of wind turbines have been adopted and presented
in Literature. These control strategies are used to control the smooth active
power generated by wind turbine generator fed to power grids. However, the conventional
control strategies have their own limitations such as power control at very
high wind speed or turbulence, unable to control harmonics within the permissible
values and instability issues at critical conditions. These limitations are
overcome by intelligent controllers now-a-days in wind turbines. Artificial
Intelligent (AI) controllers are generally known as adaptive controllers and
used to achieve smooth grid integration. Hence, in this study, a novel adaptive
control strategy for Doubly Fed Induction Generator (DFIG) based variable speed
wind turbine has been presented to prove the ability of the proposed algorithm.
Actual wind profile, grid code and generator characteristics have been considered
as inputs for the simulation in this study. By using proposed control strategy,
torque and current ripple are controlled within 0.01pu (per unit) and hence
power loss is drastically reduced.]]>Chongjaream, Y.,20122012pp: 14Asl, M.E., S.H Abbasi and F. Shabaninia,20127530349356Lin, W.M., C.M. Hong and F.S. Cheng,20115210861096Luu, T. and A. Nasiri,20102010pp: 32933298MATLAB,20022002Radic, M., Z. Stajic and D. Antic,20109113121Nallavan, G., R. Dhanasekaran and L. Rajaji,2010925768Paramasivam, S. and R. Arumugam,20054613651378Valenciaga, F.,20105130003008Vasudevan, M., R. Arumugam and S. Paramasivam,20064713591371