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Bacterial Foraging Technique-Based Optimized Active Power Filter for Load Compensation
Abstract
The conventional method of obtaining the coefficients of proportional plus integral (PI) controllers for the active power filter utilizes a linear model of the PWM inverter. The values so obtained may not give satisfactory results for a wide variation in operating conditions. This paper presents a new algorithm based on the foraging behavior of E-coli Bacteria in the human intestine, to optimize the coefficients of the PI controller. Through the simulation results, it is observed that the dynamic response of the bacterial foraging PI (BF-PI) controller is quite satisfactory. The proposed BF technique is compared with the genetic algorithm (GA) and found to converge faster than GA to reach the global optimum solution
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Citations
Cited by
Nanda, J., Mishra, S., & Saikia, L. C. (2009) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2009.2016588 · Cited by 411
Self-citationChen, H., Zhang, Q., Luo, J., Xu, Y., & Zhang, X. (2020) · Applied Soft Computing · doi:10.1016/j.asoc.2019.105884 · Cited by 257
Martinek, R., Bilik, P., Baros, J., Brablik, J., Kahankova, R., Jaros, R., Danys, L., Rzidky, J., & Wen, H. (2020) · Sensors · doi:10.3390/s20061718 · Cited by 31
Metadata
- Authors
- Mishra, S., & Bhende, C. N.
- Venue
- IEEE Transactions on Power Delivery
- Published
- 2007-01
- Volume
- 22
- Issue
- 1
- Pages
- 457-465
- ISSN
- 0885-8977 (ISSN-L)
- OpenAlex
- W1988156120
- Cited by
- 229
- References
- 0
- FWCI
- 17.64
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Bacterial Foraging Technique-Based Optimized Active Power Filter for Load Compensation. https://app.cochat.ai/papers/10.1109/tpwrd.2006.876651
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- Mishra, S., & Bhende, C. N. (2007). Bacterial Foraging Technique-Based Optimized Active Power Filter for Load Compensation. IEEE Transactions on Power Delivery. https://doi.org/10.1109/tpwrd.2006.876651
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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