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Multi-objective optimization of double-tuned filters in distribution power systems using non-dominated sorting genetic algorithm-II / Mohamed Ahmed Mohamed Fahmy ; Supervised Ahmed M. Ibrahim

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Mohamed Ahmed Mohamed Fahmy , 2018Description: 63 P. : charts , facsimiles ; 30cmOther title:
  • إستخدام الخوارزمية الجينية لترتيب الحلول المهيمنة للحصول على التصميم الأمثل متعدد الاهداف للمرشحات ثنائية التوالف [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: This thesis proposes an optimization method to find the optimal design of different filters{u2019} types to reduce harmonic distortion in electrical power systems, and thus improving power quality performance of these systems.Non-dominated sorting genetic algorithm (NSGA-II) has been employed and tested using MATLAB. In this thesis, the operating principles of the single and double-tuned filters and the design equations to calculate its parameters directly from the known power system data are presented. Further, a comparative analysis between multi-arm single-tuned filter and double-tuned filter to investigate the performance of both filters in mitigating harmonics and improving parameters of power quality is introduced. Then, a performance of two different configurations of damped double-tuned filter is investigated in reducing both the system{u2019}s transmission line loss and filter{u2019}s loss simultaneously, while maintaining the individual and total harmonic distortion limits stated in IEEE Std. 519
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Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.07.M.Sc.2018.Mo.M (Browse shelf(Opens below)) Not for loan 01010110077512000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.07.M.Sc.2018.Mo.M (Browse shelf(Opens below)) 77512.CD Not for loan 01020110077512000

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

This thesis proposes an optimization method to find the optimal design of different filters{u2019} types to reduce harmonic distortion in electrical power systems, and thus improving power quality performance of these systems.Non-dominated sorting genetic algorithm (NSGA-II) has been employed and tested using MATLAB. In this thesis, the operating principles of the single and double-tuned filters and the design equations to calculate its parameters directly from the known power system data are presented. Further, a comparative analysis between multi-arm single-tuned filter and double-tuned filter to investigate the performance of both filters in mitigating harmonics and improving parameters of power quality is introduced. Then, a performance of two different configurations of damped double-tuned filter is investigated in reducing both the system{u2019}s transmission line loss and filter{u2019}s loss simultaneously, while maintaining the individual and total harmonic distortion limits stated in IEEE Std. 519

Issued also as CD

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