ANFIS-Based Compensation Algorithm for Current-Transformer Saturation Effects
In: IEEE transactions on power delivery, Jg. 24 (2009), Heft 1, S. 195-201
Online
academicJournal
- print, 24 ref
Zugriff:
This paper proposes an efficient compensation algorithm based on an adaptive network-based fuzzy inference system capable of converting a sampled current waveform that is distorted by current-transformer (CT) saturation to a compensated current waveform. Quick response time, no cumulative estimation error, desired sample-by-sample output, no dependency of CT parameters/characteristics and secondary burdens, and simplicity are some attractive features of the proposed method. The accuracy and robustness of the introduced compensation algorithm are demonstrated through extensive test cases reflecting a wide range of variations in fault conditions and CT parameters. The proposed algorithm has also been implemented and tested on a digital signal processor board.
Titel: |
ANFIS-Based Compensation Algorithm for Current-Transformer Saturation Effects
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Autor/in / Beteiligte Person: | ERENTURK, Koksal |
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Zeitschrift: | IEEE transactions on power delivery, Jg. 24 (2009), Heft 1, S. 195-201 |
Veröffentlichung: | New York, NY: Institute of Electrical and Electronics Engineers, 2009 |
Medientyp: | academicJournal |
Umfang: | print, 24 ref |
ISSN: | 0885-8977 (print) |
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