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Wind time series modeling and stochastic optimal control for a grid‐connected permanent magnet wind turbine generator
Author(s) -
Charalampidis Alexandros C.,
Chaniotis Antonios E.,
Kladas Antonios G.
Publication year - 2015
Publication title -
optimal control applications and methods
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.458
H-Index - 44
eISSN - 1099-1514
pISSN - 0143-2087
DOI - 10.1002/oca.2221
Subject(s) - permanent magnet synchronous generator , turbine , control theory (sociology) , grid , controller (irrigation) , wind speed , magnet , wind power , series (stratigraphy) , generator (circuit theory) , computer science , nonlinear system , process (computing) , control engineering , engineering , control (management) , mathematics , power (physics) , mechanical engineering , physics , electrical engineering , meteorology , paleontology , agronomy , quantum mechanics , artificial intelligence , biology , geometry , operating system
Summary In this paper, the control system of a permanent‐magnet synchronous machine wind turbine generator connected to the grid is studied. A set of wind speed time series is used to model the rapidly changing wind speed component as a stochastic process. Several control laws, including the nonlinear stochastic optimal controller, are developed, and their efficiency is examined comparatively and under various conditions. Also, the effect of parameter uncertainty to the system efficiency is shown through simulations. The results show that the system efficiency increase obtained by the use of sophisticated control techniques, although not dramatic, is not negligible. Copyright © 2015 John Wiley & Sons, Ltd.