Professor of Mechanical Engineering and Smart Structures, School of Computing Engineering and Mathematics, Western Sydney University, Australia. His research interests cover Industry 4.0, Additive Manufacturing, Advanced Engineering Materials and Structures (Metals and Composites), Multi-scale Modelling of Materials and Structures, Metal Forming and Metal Surface Treatment.
Abstract— In this paper, the control scheme of wind variable speed in wind energy systems for permanent-magnet synchronous generators is presented. The algorithm of this scheme allows the system to track the maximum power in wind speeds lower than turbine nominal speed, and assures that, when the wind speed is higher than the nominal speed, power will not exceed its nominal value. The control system is constituted by two parts: one for the generator side, and the other for the grid side. The basis of the controller in generator side is to track the maximum power through controlling the wind turbine rotation speed (w) using fuzzy logic. Type-2 Fuzzy Logic has been employed in order to have a better and more efficient control, as well as to resist against the uncertainties in system parameters. In grid-side converter, the active and reactive power controls have progressed to be able to be controlled by d- and q-axis components. The d-axis current is set at zero for unity power factor and the q-axis current is controlled to deliver the power flowing from the dc-link to the electric utility grid. The simulation of this scheme has been conducted in Simulink/Matlab Software and fuzzy toolbox.
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