Open AccessSmart Wind Generation System
Author(s) -
Badal Kumar,
Ankitanshu Swaroop,
Kriti Charan,
G. Tabitha
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.h6422.069820
Subject(s) - permanent magnet synchronous generator , interfacing , maximum power point tracking , wind power , computer science , grid , power optimizer , rectifier (neural networks) , inverter , electrical engineering , generator (circuit theory) , maximum power principle , control theory (sociology) , automotive engineering , power (physics) , engineering , magnet , photovoltaic system , control (management) , physics , voltage , computer hardware , geology , artificial intelligence , stochastic neural network , recurrent neural network , geodesy , quantum mechanics , machine learning , artificial neural network
This paper proposes a wind generation system by tracking the maximum wind direction by using air sensors. This wind generation system equipped with the Permanent Magnet Synchronous Generator (PMSG) connected to the Grid. Diode Rectifier, Boost converter, Neutral Point Clamped inverter (NPC) are used as a interfacing devices between PMSG and Grid. This method has plentiful features like low and medium power wind generation applications. It is also very less in cost and high efficient due to tracking the maximum wind direction and rotating itself into that direction.