TY  - BOOK
AU  - Mohamed Ahmed Mohamed Fahmy
AU  - Ahmed M. Ibrahim , 
TI  - Multi-objective optimization of double-tuned filters in distribution power systems using non-dominated sorting genetic algorithm-II / 
PY  - 2018///
CY  - Cairo : 
PB  - Mohamed Ahmed Mohamed Fahmy , 
KW  - Harmonics
KW  - Power quality
KW  - Singled-tuned filter
N1  - Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Electrical Power and Machines; Issued also as CD
N2  - 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
UR  - http://172.23.153.220/th.pdf
ER  -