Open AccessMAXIMUM POWER POINT TRACKING ALGORITHM AND COMPUTER AIDED DESIGN AND ANALYSIS OF DIRECT DRIVE DOUBLY FED INDUCTION GENERATOR
Author(s) -
Y. LAN,
S. T. DAI,
Miaomiao Tao,
X. F. YAN
Publication year - 2019
Publication title -
latin american applied research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.123
H-Index - 23
eISSN - 1851-8796
pISSN - 0327-0793
DOI - 10.52292/j.laar.2018.230
Subject(s) - maximum power principle , maximum power point tracking , control theory (sociology) , turbine , correctness , power optimizer , wind power , power (physics) , computer science , tracking (education) , wind speed , induction generator , algorithm , engineering , control (management) , electrical engineering , meteorology , mechanical engineering , psychology , pedagogy , physics , quantum mechanics , inverter , artificial intelligence
On the basis of the preliminary understanding and analysis of the dynamic performance of the permanent magnet doubly fed wind generator, a mathematical model is established by the method of mechanism modeling. The simulation model of the whole wind turbine is built under the Simulink running environment, and the system is designed by computer aided method. In this paper, the maximum power tracking algorithm is mainly studied. Based on the basic method of maximum wind energy capture, two simulation models of the maximum power tracking algorithm are built, including the tip speed ratio method and the power signal feedback method. Finally, the correctness of the wind turbine model is verified by the analysis of the simulation results. Under the condition of lower wind speed, two kinds of wind energy capture methods are compared and simulated, which can better reflect the performance of the maximum power tracking control algorithm.