Passive filter design using genetic algorithms for adjustable speed drives

Hazem M Zubi; Roderick W Dunn; Francis V P Robinson; Mahmud H El-Werfelli

doi:10.1109/PES.2010.5589799

Passive filter design using genetic algorithms for adjustable speed drives

Hazem M Zubi, Roderick W Dunn, Francis V P Robinson, Mahmud H El-Werfelli

Department of Electronic & Electrical Engineering

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

7 Citations (SciVal)

Abstract

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.

Original language	English
Title of host publication	2010 IEEE Conference Proceedings Power and Energy Society General Meeting
Publisher	IEEE
Pages	1 - 7
Number of pages	7
ISBN (Electronic)	9781424483570
ISBN (Print)	9781424465491
DOIs	https://doi.org/10.1109/PES.2010.5589799
Publication status	Published - 2010
Event	PES General Meeting. 25-29 July 2010. Minneapolis, MN. - , USA United States Duration: 24 Jul 2010 → 28 Jul 2010

Conference

Conference	PES General Meeting. 25-29 July 2010. Minneapolis, MN.
Country/Territory	USA United States
Period	24/07/10 → 28/07/10

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10.1109/PES.2010.5589799

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title = "Passive filter design using genetic algorithms for adjustable speed drives",

abstract = "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.",

author = "Zubi, {Hazem M} and Dunn, {Roderick W} and Robinson, {Francis V P} and El-Werfelli, {Mahmud H}",

year = "2010",

doi = "10.1109/PES.2010.5589799",

language = "English",

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AU - Zubi, Hazem M

AU - Dunn, Roderick W

AU - Robinson, Francis V P

AU - El-Werfelli, Mahmud H

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

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U2 - 10.1109/PES.2010.5589799

DO - 10.1109/PES.2010.5589799

M3 - Chapter in a published conference proceeding

SN - 9781424465491

SP - 1

EP - 7

BT - 2010 IEEE Conference Proceedings Power and Energy Society General Meeting

PB - IEEE

T2 - PES General Meeting. 25-29 July 2010. Minneapolis, MN.

Y2 - 24 July 2010 through 28 July 2010

ER -

Passive filter design using genetic algorithms for adjustable speed drives

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