Design and analysis of PID-P controller for load frequency control of multi area multi source power system / Ahmed Nabil Abdalzaher Ibrahim ; Supervised Doaa Khalil Ibrahim , Mohamed Abdulraouf Shafei
Material type: TextLanguage: English Publication details: Cairo : Ahmed Nabil Abdalzaher Ibrahim , 2017Description: 94 P. ; 30cmOther title:- تحليل و دراسة أداء المتحكم التناسبى التكاملى التفاضلى ذو رد الفعل التناسبى الداخلى للتحكم فى تردد أنظمة القوى متعددة المناطق و المولدات [Added title page title]
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Item type | Current library | Home library | Call number | Copy number | Status | Date due | Barcode | |
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Thesis | قاعة الرسائل الجامعية - الدور الاول | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.13.07.M.Sc.2017.Ah.D (Browse shelf(Opens below)) | Not for loan | 01010110074937000 | |||
CD - Rom | مخـــزن الرســائل الجـــامعية - البدروم | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.13.07.M.Sc.2017.Ah.D (Browse shelf(Opens below)) | 74937.CD | Not for loan | 01020110074937000 |
Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Electrical Power and Machines
In this investigation, a new application of PID-P controller for developing the performance of LFC is presented. The PID-P controller is proposed to overcome the structure limitation of PID in controlling the integration process. At first, a two-area of non-reheat thermal system is considered to investigate the performance of the proposed controller. Further, the proposed controller is extended to a more realistic power system model including thermal with reheater, hydro, wind and diesel power generation units with physical constraints such as governor dead band (GDB), generation rate constraint (GRC) time delay and boiler dynamics. The parameters of the PID-P controller are optimized using linearized biogeography based optimization technique (LBBO), biogeography based optimization (BBO) and genetic algorithm (GA) with integral of time multiplied absolute error (ITAE) as a fitness function. The superiority of the proposed PID-P controller is examined by comparing its results with some recently published modern heuristic optimization approaches tuned PI, PID, 2-Degree of freedom PID (2-DOF-PID), fuzzy-PI, fuzzy PID, IDD, PIDD controllers for the same power systems. Moreover, the ability of the proposed controller to handle large variation in operating load conditions, time delay, participation factors and system parameters has been verified comprehensively
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