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Optimization of real power loss and voltage stability index of distribution systems with distributed generation / Mahmoud Elsaid Mohamed Dawod ; Supervised Zeinab H. M. Osman , Moustafa Ahmed Elshahed

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Mahmoud Elsaid Mohamed Dawod , 2017Description: 92 P. : charts ; 30cmOther title:
  • الحلول المثلى للفقد الكهربى و معامل اتزان الجهد فى نظم التوزيع المحتوية على التوليد الموزع [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 main goal of this thesis is determination of the best location and size of distributed generation unit that improves voltage stability index and reduces the distribution system losses. A methodology has been developed to realize this goal. The multi objective optimization subjected to a set of constraints and using genetic algorithm has been utilized. For verification of this methodology, it has been applied on standard test systems, namely IEEE 33-bus system and IEEE 69-bus system. The deduced results are compared with that given in the literature
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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.2017.Ma.O (Browse shelf(Opens below)) Not for loan 01010110073175000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.07.M.Sc.2017.Ma.O (Browse shelf(Opens below)) 73175.CD Not for loan 01020110073175000

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

The main goal of this thesis is determination of the best location and size of distributed generation unit that improves voltage stability index and reduces the distribution system losses. A methodology has been developed to realize this goal. The multi objective optimization subjected to a set of constraints and using genetic algorithm has been utilized. For verification of this methodology, it has been applied on standard test systems, namely IEEE 33-bus system and IEEE 69-bus system. The deduced results are compared with that given in the literature

Issued also as CD

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