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Optimal design and control of integrated wind turbine and flywheel systems / Mohamed Mahmoud Alhadi Alhneaish ; Supervised Sayed M. Metwalli , Mohamed L. Shaltout

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Mohamed Mahmoud Alhadi Alhneaish , 2018Description: 55 P. : facsimiles ; 30cmOther title:
  • التصميم و التحكم الأمثل لمنظومات متكاملة مكونة من تربينة رياح و حدافة [Added title page title]
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  • Issued also as CD
Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Mechanical Design and Production Summary: An economic model predictive control framework is presented in this study for an integrated wind turbine and flywheel energy storage system. The control objective is to smooth wind power output and mitigate tower fatigue load. The optimal control problem within the model predictive control approach has been formulated as a convex optimal control problem with linear dynamics and convex constraints that can be solved globally. The performance of the developed control algorithm is compared to that of a standard wind turbine controller. The effect of the proposed control actions on the fatigue loads acting on the tower and blades is studied. Additionally, the employment of different storage sizes is considered. The simulation results, with various wind scenarios, showed the ability of the proposed control algorithm to achieve the aforementioned objective in terms of smoothing output power and mitigating tower fatigue load at the cost of a minimal reduction of the wind energy harvested
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Item type Current library Home library Call number Copy number Status Date due Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.13.M.Sc.2018.Mo.O (Browse shelf(Opens below)) Not for loan 01010110076687000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.13.M.Sc.2018.Mo.O (Browse shelf(Opens below)) 76687.CD Not for loan 01020110076687000

Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Mechanical Design and Production

An economic model predictive control framework is presented in this study for an integrated wind turbine and flywheel energy storage system. The control objective is to smooth wind power output and mitigate tower fatigue load. The optimal control problem within the model predictive control approach has been formulated as a convex optimal control problem with linear dynamics and convex constraints that can be solved globally. The performance of the developed control algorithm is compared to that of a standard wind turbine controller. The effect of the proposed control actions on the fatigue loads acting on the tower and blades is studied. Additionally, the employment of different storage sizes is considered. The simulation results, with various wind scenarios, showed the ability of the proposed control algorithm to achieve the aforementioned objective in terms of smoothing output power and mitigating tower fatigue load at the cost of a minimal reduction of the wind energy harvested

Issued also as CD

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