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Fault identification in distributed generation system using neural network / Ahmed Mostafa Saad ; Supervised Essam Abouelzahab , Elsayed Tag Eldin

By: Contributor(s): Material type: TextTextLanguage: eng. Publication details: Cairo : Ahmed Mostafa Saad , 2008Description: 157P. : charts , facsimiles ; 30cmOther title:
  • تحديد الأعطال فى نظام المولدات الموزعة بإستخدام الشبكات العصبية [Added title page title]
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  • Issued also as CD
Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Electrical Power and Machines Summary: The thesis introduces the distributed generation (DG) as a new trend showing its technologies and applications it then gives a brief idea on the protection in a power system the thesis concern is the affect of penetration of DG on the protection of a power system a program was proposed that is capable of identifying a fault defining its type and location and take the appropriate action to clear it by the aid of neural networks
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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 Cai01.13.07.M.Sc.2008.Ah.F. (Browse shelf(Opens below)) Not for loan 01010110050736000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.07.M.Sc.2008.Ah.F. (Browse shelf(Opens below)) 50736.CD Not for loan 01020110050736000

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

The thesis introduces the distributed generation (DG) as a new trend showing its technologies and applications it then gives a brief idea on the protection in a power system the thesis concern is the affect of penetration of DG on the protection of a power system a program was proposed that is capable of identifying a fault defining its type and location and take the appropriate action to clear it by the aid of neural networks

Issued also as CD

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