الفهرس 
Wind Turbine Classification
PMSG ModelOnly 14 pages are availabe for public view
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Abstract
Among all available wind energy conversion systems (WECS), the direct driven permanent magnet synchronous generator (PMSG) variable speed WECS integrated with power electronic interfaces is considered to be the best choice for the current energy market due to its capability of extracting optimal energy capture, reducing mechanical stresses. It doesn’t need external excitation current, which means less losses and more compact size. Its simple structure, Low cost maintenance also, decoupling control implementation makes it less sentient to the parameter changes of the generator. The performance of wind energy system is influenced by many factors such as the characteristics of the turbines, generators and control systems.
One of the important functions of the control systems is to determine the active and reactive powers supplied by the wind turbine to the grid. Conversely, the performance of the WECS is affected by the variation of the varying grid condition.
This thesis represents a transient stability improvement of a grid connected permanent magnet synchronous generator-based wind farm by a new application of Bat Optimization Algorithm (BOA) to optimally design the proportional plus integral (PI) controllers of the interface converters of permeant magnet synchronous generator (PMSG) – based wind turbine. The PMSG based on wind turbine is connected to the grid via a generator side converter, a DC link capacitor and a grid side inverter. The Response Surface Methodology (RSM) is implemented to model the voltage specification like undershoot, overshoot, steady state error and settling time. Multiple runs are performed on PSCAD software to create the RSM model. The BOA is applied to the RSM model to minimize the objective function. The BOA results are compared with that obtained by using the grey wolf optimization (GWO) results.