The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Genetic algorithm based design of the active damping for a LCL-filter three-phase active rectifier
Abstract
The use of a LCL-filter mitigates the switching ripple injected in the grid by a three-phase active rectifier. However stability problems could arise in the current control loop. In order to overcome them a damping resistor can be inserted, at the price of a reduction of the efficiency. On the contrary the use of the active damping seems really attractive but it is often limited by the use of more sensors respect to the standard control and by the complex tuning procedure. This paper introduces a new active damping method that does not need the use of more sensors and that can be tuned using genetic algorithms. It consists of adding a filter on the reference voltage for the converter's modulator. The tuning process of this filter is easily done, for a wide range of sampling frequencies, with the use of genetic algorithms. This method is used only for the optimum choice of the parameters of the filter and an on-line implementation is not needed. Thus the resulting active damping solution does not need new sensors or complex calculations. Moreover, in the paper particular attention is devoted to the dynamics of the system due to the introduction of the active damping.
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Cites
Holland, J. H. (1992) · The MIT Press eBooks · doi:10.7551/mitpress/1090.001.0001 · Cited by 47,002
Goldberg, D. E., & Shakespeare, W. (2002) · Cited by 16,088
Fundamentals of Power Electronics
Erickson, R. W., & Maksimović, D. (2001) · Springer eBooks · doi:10.1007/b100747 · Cited by 6,112
The Levenberg-Marquardt algorithm: Implementation and theory
Moré, J. J. (1978) · Lecture Notes in Mathematics · doi:10.1007/bfb0067700 · Cited by 5,773
Fundamentals of Power Electronics
Erickson, R. W., & Maksimović, D. (2020) · Springer eBooks · doi:10.1007/978-3-030-43881-4 · Cited by 5,420
An Adaptive Nonlinear Least-Squares Algorithm
Dennis, J. E., Gay, D. M., & Walsh, R. E. (1981) · ACM Transactions on Mathematical Software · doi:10.1145/355958.355965 · Cited by 930
A new mathematical model and control of a three-phase AC-DC voltage source converter
Blasko, V., & Kaura, V. (1997) · IEEE Transactions on Power Electronics · doi:10.1109/63.554176 · Cited by 871
(2002) · Elsevier eBooks · doi:10.1016/b978-0-12-402772-5.x5000-5 · Cited by 551
Virtual flux based direct power control of three-phase PWM rectifiers
Malinowski, M., Kazmierkowski, M. P., Hansen, S., Blaabjerg, F., & Marques, G. (2002) · Conference Record of the 2000 IEEE Industry Applications Conference. Thirty-Fifth IAS Annual Meeting and World Conference on Industrial Applications of Electrical Energy (Cat. No.00CH37129) · doi:10.1109/ias.2000.883155 · Cited by 535
Self-citationBlasko, V., & Kaura, V. (1997) · IEEE Transactions on Industry Applications · doi:10.1109/28.568021 · Cited by 508
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An Overview of Artificial Intelligence Applications for Power Electronics
Zhao, S., Blaabjerg, F., & Wang, H. (2021) · IEEE Transactions on Power Electronics · doi:10.1109/tpel.2020.3024914 · Cited by 947
Self-citationDannehl, J., Wessels, C., & Fuchs, F. W. (2009) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2008.2008774 · Cited by 747
Saber, C., Labrousse, D., Revol, B., & Gascher, A. (2016) · IEEE Transactions on Power Electronics · doi:10.1109/tpel.2015.2500958 · Cited by 73
Metadata
- Authors
- Liserre, M., Dell'Aquila, A., & Blaabjerg, F.
- Venue
- Eighteenth Annual IEEE Applied Power Electronics Conference and Exposition, 2003. APEC '03.
- Publisher
- IEEE
- Published
- 2003-10-31
- Volume
- 1
- Pages
- 234-240
- OpenAlex
- W2108196484
- Cited by
- 313
- References
- 16
- FWCI
- 7.80
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Genetic algorithm based design of the active damping for a LCL-filter three-phase active rectifier. https://app.cochat.ai/papers/10.1109/apec.2003.1179221
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- Liserre, M., Dell'Aquila, A., & Blaabjerg, F. (2003). Genetic algorithm based design of the active damping for a LCL-filter three-phase active rectifier. Eighteenth Annual IEEE Applied Power Electronics Conference and Exposition, 2003. APEC '03. https://doi.org/10.1109/apec.2003.1179221
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