Abstract
The overall efficiency of the DFIG is superior when it is working close to the rated operating point and rated flux level. However, in light loads, optimal efficiency requires operation at a reduced flux level. In this chapter, several algorithms for increasing the steady-state efficiency that integrated with the wind power generation system are proposed. The proposed algorithms are based on the flux-Elevel reduction by calculating the optimum d-axis current and also by estimating the optimum reference rotor d-axis current by using Particle Swarm Optimization- Support Vector Regression (PSO-SVR) algorithm. The PSO is implemented to automatically perform the parameter selection in SVR modeling while the SVR is used to predict the optimum rotor d-axis current corresponding to the minimum total power loss. The input of the SVR is selected to be wind speeds, d-axis current, and generator power loss. The output of the SVR is the reference d-axis current. An experimental setup has been implemented in the laboratory to validate the theoretical development.
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