| 改进神经网络的电网谐波检测系统研究 |
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| 引用本文： | 孙亮.改进神经网络的电网谐波检测系统研究[J].电脑编程技巧与维护,2010(18):82-84. |
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| 作者姓名： | 孙亮 |
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| 作者单位： | 江苏省电力公司宜兴市供电公司,宜兴,214206 |
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| 摘 要： | 将改进BP神经网络技术引入到电网谐波在线监测中,通过模型的自动＂学习＂训练,获得电网谐波＂动态＂的检测模型,实现对电网谐波的实时检测,最终达到电网谐波实时补偿的目的,为谐波抑制提供基础的数据参考,是一种有效可行的自动预测模型。
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| 关 键 词： | 电网谐波 改进BP神经网络 在线检测 |
Improved Neural Network Based Harmonic Detection System |
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| SUN Liang.Improved Neural Network Based Harmonic Detection System[J].Computer Programming Skills & Maintenance,2010(18):82-84. |
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| Authors: | SUN Liang |
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| Affiliation: | SUN Liang(Jiangsu Electric Power Company Yixing Power Company,Yixing 214206) |
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| Abstract: | This will improve the BP neural network technology into harmonic line monitoring,through the model automatically ＂learn＂ training to acquire the harmonic ＂dynamic＂ test model,to achieve real-time detection of the harmonic,ultimately attain purpose of harmonic real-time compensation,can provide the basis for the harmonic suppression of data for reference,is an effective and feasible model for automatic prediction. |
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| Keywords: | Harmonic Improved BP neural network Line detection |
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