Passive filter design using genetic algorithms for adjustable speed drives
Zubi, H. M., Dunn, R. W., Robinson, F. V. P. and El-Werfelli, M. H., 2010. Passive filter design using genetic algorithms for adjustable speed drives. In: 2010 IEEE Conference Proceedings Power and Energy Society General Meeting. IEEE, 1 - 7.
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A new approach to designing improved broadband passive harmonic filters (IBFs) for such applications as direct on-line, adjustable-speed drives is proposed, which employs genetic algorithms (GAs). The method is based on frequency domain modeling of the system. The success of the method requires accurate representation of the load harmonics. By using the proposed GAs program, it becomes possible to quickly find the optimized power quality indices that will minimize filter size and harmonic resonance problems. The paper illustrates the potential performance of optimal IBFs using computer simulation to validate GA-assisted filter designs for 5.5 kW and 55 kW ASDs.
|Item Type||Book Sections|
|Creators||Zubi, H. M., Dunn, R. W., Robinson, F. V. P. and El-Werfelli, M. H.|
|Departments||Faculty of Engineering & Design > Electronic & Electrical Engineering|
|Publisher Statement||Passive_Filter_Design_Using_Genetic_Algorthims.pdf: (C) 2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.|
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