
Modeling and Implementation of MPPT based Wind Energy System Using Cuckoo Search
Author(s) -
Kaleem Sk,
Rama Subbanna S
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i2.7.10920
Subject(s) - wind power , control theory (sociology) , turbine , computer science , matlab , maximum power point tracking , grid , cuckoo search , power optimizer , wind speed , reference frame , control engineering , frame (networking) , engineering , control (management) , inverter , electrical engineering , aerospace engineering , voltage , physics , mathematics , telecommunications , geometry , artificial intelligence , particle swarm optimization , machine learning , meteorology , operating system
This paper presents adjustable speed generators for wind turbines. In order to improve the potential and performance of wind turbine system this paper proposes a concept DFIG. Generally wind nature is not fixed it varies linearly w.r.t time, hence, a MPPT controller is proposed in this paper. This paper presents the DFIG wind energy system. A Control strategy implemented and controlled by framing rotor reference frame axis in terms of direct and quadrature axis coordinates. A PI based RSC and GSC controllers are introduced to control the power through the wind system to grid. This proposed model is implemented and verified by using Matlab/Simulink.