کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
497041 | 862875 | 2011 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Harmonic identification using parallel neural networks in single-phase systems
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Harmonic identification using parallel neural networks in single-phase systems Harmonic identification using parallel neural networks in single-phase systems](/preview/png/497041.png)
چکیده انگلیسی
In this paper, artificial neural networks are employed in a novel approach to identify harmonic components of single-phase nonlinear load currents, whose amplitude and phase angle are subject to unpredictable changes, even in steady-state. The first six harmonic current components are identified through the variation analysis of waveform characteristics. The effectiveness of this method is tested by applying it to the model of a single-phase active power filter, dedicated to the selective compensation of harmonic current drained by an AC controller. Simulation and experimental results are presented to validate the proposed approach.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Soft Computing - Volume 11, Issue 2, March 2011, Pages 2178–2185
Journal: Applied Soft Computing - Volume 11, Issue 2, March 2011, Pages 2178–2185
نویسندگان
Claudionor Francisco do Nascimento, Azauri Albano de Oliveira Jr., Alessandro Goedtel, Paulo José Amaral Serni,