An Optimized Space Vector Modulation Sequence for Improved Harmonic Performance
This paper proposes a method for optimization of the harmonic performance of converters under space vector modulation (SVM) control. It is shown that SVM provides a number of degrees of freedom, which make it suitable for optimization, subject to desired constraints. An objective function is defined...
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| Published in | IEEE transactions on industrial electronics (1982) Vol. 56; no. 8; pp. 2894 - 2903 |
|---|---|
| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
New York
IEEE
01.08.2009
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0278-0046 1557-9948 |
| DOI | 10.1109/TIE.2008.2008997 |
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| Abstract | This paper proposes a method for optimization of the harmonic performance of converters under space vector modulation (SVM) control. It is shown that SVM provides a number of degrees of freedom, which make it suitable for optimization, subject to desired constraints. An objective function is defined, which seeks to minimize the most significant harmonic components of the generated waveform while keeping other harmonic components within the acceptable range outlined in the available standards. Since the formulation of the problem involves both real and integer variables, specialized optimization methods capable of handling mixed-integer variables need to be employed, and hence, a genetic algorithm optimizer is used to solve the optimization problem. Optimized SVM sequences obtained for various operating points under different sampling frequencies are shown to result in significant reduction of dominant harmonics while maintaining the waveform quality within prescribed limits. |
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| AbstractList | This paper proposes a method for optimization of the harmonic performance of converters under space vector modulation (SVM) control. It is shown that SVM provides a number of degrees of freedom, which make it suitable for optimization, subject to desired constraints. An objective function is defined, which seeks to minimize the most significant harmonic components of the generated waveform while keeping other harmonic components within the acceptable range outlined in the available standards. Since the formulation of the problem involves both real and integer variables, specialized optimization methods capable of handling mixed-integer variables need to be employed, and hence, a genetic algorithm optimizer is used to solve the optimization problem. Optimized SVM sequences obtained for various operating points under different sampling frequencies are shown to result in significant reduction of dominant harmonics while maintaining the waveform quality within prescribed limits. This paper proposes a method for optimization of the harmonic performance of converters under space vector modulation (SVM) control. It is shown that SVM provides a number of degrees of freedom, which make it suitable for optimization, subject [abstract truncated by publisher]. |
| Author | Mehrizi-Sani, A. Filizadeh, S. |
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| References | ref13 ref12 ref15 ref14 ravindran (ref26) 2006 ref11 ref10 ref2 ref1 (ref25) 1992 ref17 ref19 ref18 haupt (ref16) 1998 mehrizi-sani (ref5) 2007 ref24 jenni (ref23) 1993; 4 ref20 ref22 ref21 ref27 ref8 ref7 ref9 ref4 ref3 ref6 |
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| Snippet | This paper proposes a method for optimization of the harmonic performance of converters under space vector modulation (SVM) control. It is shown that SVM... |
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| SubjectTerms | Converters Genetic algorithms (GAs) harmonic analysis Harmonics Materials handling Optimization Optimization methods Power conversion Power harmonic filters Power system harmonics Power system stability Pulse width modulation Sampling Space vector modulation space vector modulation (SVM) Support vector machines Switching frequency Voltage control voltage-sourced converter (VSC) Waveforms |
| Title | An Optimized Space Vector Modulation Sequence for Improved Harmonic Performance |
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