2013
DOI: 10.1186/2192-0567-3-19
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New approach for optimizing energy by adjusting the trade-off coefficient in wind turbines

Abstract: Background: As fossil fuels run out, more attention should be paid to renewable energies, among which wind energy is one of the best. Therefore, the optimization of its energetic efficiency in variable speed wind turbines is an important focus of this recent study.

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Cited by 9 publications
(9 citation statements)
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“…Kumar and Stol (2010) proposed and tested the use of Simulink to simulate the LQR controller for wind turbines to achieve better rotor speed regulation. To maximize the energy generated from wind, Fakharzadeh et al 2013) presented a linear control law using the LQR approach. Bayat and Bahmani (2017) addressed both the problems of power regulation and wind turbine control using the LQR approach feedback.…”
Section: Article Highlightsmentioning
confidence: 99%
See 1 more Smart Citation
“…Kumar and Stol (2010) proposed and tested the use of Simulink to simulate the LQR controller for wind turbines to achieve better rotor speed regulation. To maximize the energy generated from wind, Fakharzadeh et al 2013) presented a linear control law using the LQR approach. Bayat and Bahmani (2017) addressed both the problems of power regulation and wind turbine control using the LQR approach feedback.…”
Section: Article Highlightsmentioning
confidence: 99%
“…The flexible transmission model attracted our attention because the mechanical coupling between the turbine and the electric machine is modeled using the two-mass model, as shown in Figure 1(b). The two masses are connected to a flexible shaft characterized by the elasticity coefficient of the drive shaft of the blades k and the coefficient of friction of the shaft relative to the gearbox d. For wind turbines, this twomass model is sufficient to properly represent the dynamic behavior of the turbine (Fakharzadeh et al 2013). For this purpose, the MCT drive system will be modeled using the two-mass model.…”
Section: Model Of the Mechanical Subsystemmentioning
confidence: 99%
“…модернизации систем управления для регулирования скорости вращения и снижение нагрузки на ротор: управлением индивидуального наклона лопасти [12]; контроллеры на основе наблюдателей возмущений [13]; мультивариативное робастное управление [14]; многокритериальные и модельные прогностические подходы [15]. Исследования аэродинамики лопастей [16].…”
Section: Introductionunclassified
“…УРОВ обладают одними из самых низких показателей надежности срабатывания среди всех устройств релейной защиты и автоматики. Согласно [15], вероятность отказа в срабатывании УРОВ равна q УРОВ =36•10 -3 что является вторым показателем по ненадежности (менее надежными являются только устройства автоматического включения резерва).…”
Section: Introductionunclassified