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• W2024754975 abstract "Power optimization and control for grid-coupled wind energy conversion systems (WECS) has been extensively studied for variable speed wind turbines (VSWTs). However, existing methods are model-based, and are highly dependent on the system dynamics. We employ extremum seeking (ES), which is a non-model-based optimization approach, to perform maximum power point tracking (MPPT), i.e., extract maximum power from WECS in their sub-rated power region. Since the performance of the ES design is related to the system dynamics, we also design a nonlinear controller, based on the field oriented control concept and feedback linearization, that guarantees desired closed-loop performance. The outer ES loop tunes the wind turbine speed to maximize power capture for all wind speeds within the sub-rated power operating conditions. The inner-loop nonlinear control maintains closed-loop performance through a matrix converter, by regulating the electrical frequency and voltage amplitude of the stator of the (squirrel-cage) induction generator. Simulation results are presented to show the effectiveness of the proposed design." @default.
• W2024754975 created "2016-06-24" @default.
• W2024754975 creator A5018293076 @default.
• W2024754975 creator A5026056269 @default.
• W2024754975 creator A5050408211 @default.
• W2024754975 date "2013-06-01" @default.
• W2024754975 modified "2023-09-28" @default.
• W2024754975 title "Power optimization and control in wind energy conversion systems using extremum seeking" @default.
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• W2024754975 doi "https://doi.org/10.1109/acc.2013.6580168" @default.
• W2024754975 hasPublicationYear "2013" @default.
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