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This research shows that the design of wind turbine blade for the best production of energy produces a turbine with a problem of start-up. The study focused on ways to improve the process of the small wind turbine start-up at the low wind speed w ith the stability of the pitch blade angle, and study the behavior of the turbine during the stage of angular acceleration after the start-up until the turbine reaches the speed of rotation that enable it to produce the energy.
Solar and wind energy is considered as one of the best renewable energy resources because it Available and economical . We can take advantage of these two resources of renewable energy in Katina area in Homs for designing and building a bilateral r esources (solar-wind) electric power system, depending on the daily bending of the wind speed and the solar radiation intensity in the studied area. This research studies the design of a hybrid wind and solar system by selecting its components that available in the local market in terms of their nominal, technical specifications, based on the technical and economic studies and the corresponding international standards. The obtained results showed that we have approximately (1246.7 Kw/Year) surplus during the year for the benefit of consumers, which makes the system economically feasible for investment, as explained in research needs an additional resource to feed the load and charge the energy-savings with (3360.2 w/day) that constituting (50.4 %) of the volume of the load in addition to the practical results provides a theoretical database, whether for the researcher or the investor in the field of renewable energies, particularly in terms of the efficiency of selecting the system’s components.
The turbine control purpose is to achieve the maximum limit of wind power, associated with reducing the mechanical loads. The current control techniques do not take into consideration the dynamical side of wind and turbine, which leads to power los s. To improve the effectiveness of the nonlinear controllers, we can derive the nonlinear feedback controllers for static and dynamic conditions in order to reach the wind speed estimator. Then we can test the controllers by a mathematical model applied on the wind turbine simulator, with disturbances and noise. The results have shown important improvements in comparison with the current used controllers.
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