小波神经网络在电力谐波检测中的应用

电网谐波检测技术是影响有源电力滤波(APF)发展的关键技术之一。由于电网谐波具有固有的非线性、随机性、分布性、非平稳性和影响因素的复杂性等特征,对谐波进行实时准确检测较难,因此研究对电力系统中的谐波进行检测的方法非常重要。提出将小波和神经网络结合构成小波神经网络的谐波检测法,对小波神经网络进行了设计,仿真结果表明该方法能实时、精确地对电网谐波进行检测。

Application of Wavelet Neural Network to Power Harmonic Detection

Harmonic detection technology is one of the key technologies determining the development of active power filter (APF).It is difficult to detect the real-time harmonic accurately because of the features of power network harmonic,such as inherent nonlinear,random,distribution,non-stationary and the complexity of impact factors,so the study of the harmonic's detection methods is very important for power system.A harmonic detection method based on wavelet neural network combining wavelet with neural network is ...