改进神经网络的电网谐波检测系统研究

Improved Neural Network Based Harmonic Detection System

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。

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.