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Two area load frequency control based on evolutionary computational techniques / Ahmed Moussa Fakhry Moussa ; Supervised Mohamed A. Moustafa , Mohamed E. Ammar

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Ahmed Moussa Fakhry Moussa , 2016Description: 65 P. ; 30cmOther title:
  • التحكم فى تردد حمل لمنطقتين إعتماداً على تقنيات حسابية تطورية [Added title page title]
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Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Electrical Power and Machines Summary: The two area load frequency control (TALFC) is used to manage the shared active power between a two generation areas. The PID controller is used to improve the performance of the two area controllers. The particle swarm optimization technique and its modified techniques are one of the evolutionary computational techniques that could be used to set the PID parameters. The artificial Immune System (AIS) could be in optimization and it will be used in this paper for tuning the PID controller through using the clonal selection. Finally, the obtained results will be discussed after applying the algorithms on the TALFC. The obtained results are highly encouraging
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Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.07.M.Sc.2016.Ah.T (Browse shelf(Opens below)) Not for loan 01010110071761000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.07.M.Sc.2016.Ah.T (Browse shelf(Opens below)) 71761.CD Not for loan 01020110071761000

Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Electrical Power and Machines

The two area load frequency control (TALFC) is used to manage the shared active power between a two generation areas. The PID controller is used to improve the performance of the two area controllers. The particle swarm optimization technique and its modified techniques are one of the evolutionary computational techniques that could be used to set the PID parameters. The artificial Immune System (AIS) could be in optimization and it will be used in this paper for tuning the PID controller through using the clonal selection. Finally, the obtained results will be discussed after applying the algorithms on the TALFC. The obtained results are highly encouraging

Issued also as CD

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