An Improved Harmonic Current Detection Method Based on Variable Forgetting Factor RLS Algorithm
The effects of compensating and restraining the power system harmonics using active power filter are determined by the detection precision and its dynamic response characters. To improve both of them, a harmonic current detection algorithm based on variable forgetting factor Recursive Least-Squares...
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| Veröffentlicht in: | Applied Mechanics and Materials Jg. 291-294; S. 2459 - 2463 |
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| Hauptverfasser: | , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Zurich
Trans Tech Publications Ltd
13.02.2013
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| Schlagworte: | |
| ISBN: | 9783037856345, 3037856343 |
| ISSN: | 1660-9336, 1662-7482, 1662-7482 |
| Online-Zugang: | Volltext |
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| Zusammenfassung: | The effects of compensating and restraining the power system harmonics using active power filter are determined by the detection precision and its dynamic response characters. To improve both of them, a harmonic current detection algorithm based on variable forgetting factor Recursive Least-Squares algorithm is presented. The occurrence of the dynamic process is identified firstly by the judgment condition which is given by the algorithm, and then the forgetting factor is assigned dynamically, so that the convergent speed is significantly improved. The algorithm overcomes the impact of low-pass filter of traditional p-q or ip-iq algorithm, and releases the contradiction cased by the conflicting requirements of forgetting factor value between steady process and dynamic process. So it has better dynamic performance. Simulation and experiments prove the validity and feasibility of the approaches. |
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| Bibliographie: | Selected, peer reviewed papers from the 2012 International Conference on Sustainable Energy and Environmental Engineering (ICSEEE 2012), December 29-30, 2012, Guangzhou, China ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ISBN: | 9783037856345 3037856343 |
| ISSN: | 1660-9336 1662-7482 1662-7482 |
| DOI: | 10.4028/www.scientific.net/AMM.291-294.2459 |