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  4. Voltage/pitch control for maximisation and regulation of active/reactive powers in wind turbines with uncertainties
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Category: Renewable Power Generation
By MTech Projects
MTech Projects
06.Apr
Hits: 7

Voltage/pitch control for maximisation and regulation of active/reactive powers in wind turbines with uncertainties

PROJECT TITLE :

Voltage/pitch control for maximisation and regulation of active/reactive powers in wind turbines with uncertainties

ABSTRACT:

This study addresses the problem of controlling a variable-speed wind turbine with a doubly fed induction generator (DFIG), modelled as an electromechanically coupled non-linear system with rotor voltages and blade pitch angle as its inputs, active and reactive powers as its outputs, and most of the aerodynamic and mechanical parameters as its uncertainties. Using a blend of linear and non-linear control strategies (including feedback linearisation, pole placement, uncertainty estimation and gradient-based potential function minimisation) as well as time-scale separation in the dynamics, the authors develop a controller that is capable of maximising the active power in the maximum power tracking (MPT) mode, regulating the active power in the power regulation (PR) mode, seamlessly switching between the two modes and simultaneously adjusting the reactive power to achieve a desired power factor. The controller consists of four cascaded components, uses realistic feedback signals, and operates without knowledge of the Cp-surface, air density, friction coefficient, and wind speed. Finally, the authors show the effectiveness of the controller via simulation with realistic wind profiles.

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Previous article: Parameters impact on the performance of a double-fed induction generator-based wind turbine for subsynchronous resonance control Parameters impact on the performance of a double-fed induction generator-based wind turbine for subsynchronous resonance control Next article: Probabilistic load flow for radial distribution networks with photovoltaic generators Probabilistic load flow for radial distribution networks with photovoltaic generators
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