
Novel Power Coefficient for extracting the maximum power in Wind power based Doubly fed Induction generator (DFIG) using vector control
Author(s) -
Arunesh Kumar Singh,
Abhinav Saxena,
. Prashant,
MdWaris,
Arun Singh Rana
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/594/1/012007
Subject(s) - control theory (sociology) , wind power , maximum power principle , matlab , induction generator , power (physics) , vector control , turbine , ac power , computer science , rotor (electric) , power optimizer , maximum power point tracking , engineering , induction motor , physics , electrical engineering , control (management) , voltage , aerospace engineering , quantum mechanics , artificial intelligence , inverter , operating system
This Paper shows behaviour of the Doubly fed Induction generator(DFIG) for extracting the maximum power using vector controlled mechanism. This paper present the controlling of rotor side converter(RSC) and grid side converter(GSC) through conventional method of gate triggering by using d-q theory The paper includes the simulation model of DFIG and further the maximum power extraction from wind is estimated by using power coefficient which is completely dependent on pitch angle, tip to speed ratio(TSR). The novelty in power coefficient has design to harness the maximum power. Firstly the mathematical model of DFIG is developed with incorporated wind turbine as mechanical input and then vector controlled method is used. DFIG is broadly used in wind power applications which are more robust, reliable and very efficient system. The complete system is implemented using MATLAB software tool.