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—Catastrophic impacts of conventional based power plants on the environment has forced many nations to concern more on exploring renewable energy (RE) source for power plants. One of the most popular RE sources is wind, where the wind has been installed about 430 GW in 2015. Among wind turbines generator that available in the market niche, Doubly Fed Induction Generator (DFIG) is the most popular type. DFIG type dominates the total wind turbine installed capacity by about 17.5% in 2015 according to the report of JRC (Joint Research Center). Although DFIG is capable in extracting 5% more energy if compared to the fixed speed type, it is however, very sensitive to the fault that may violate the Fault Ride Through (FRT) which leads to the disconnecting of the DFIG from the grid. In this paper, a Superconducting Magnetic Energy Storage (SMES) unit is applied to improve the FRT capability of the system with DFIG during a short circuit event in the distribution lines. A Fuzzy Logic Type-2 is employed on the SMES to obtain the most optimum response of the DFIG during the fault.
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