关键词: 自适应人工神经网络, 非线性最小二乘法, 谐波电流检测, 有源电力滤波器

Abstract:

The accuracy and real-time performance of APF detecting the harmonic current is vital to improving the quality of electric energy.The method based on NLS (non-linear least squares) and ADALINE is proposed in this paper.NLS is used to estimate the frequency of the network voltage.ANN is used to estimate the initial phase of the network voltage and the amplitude of the network fundamental active current.Through the frequency and the initial phase of the network voltage,the sine signal whose frequency and initial phase is the same as the network voltage is generated.Compared with the traditional method,the time of detecting the phase,frequency,and amplitude of the network fundamental active current is apparently shortened and the accuracy is obviously improved.The method proposed precisely detects the fundamental current in 0.02 s.Simulation shows the effectiveness and superiority of this method.

Key words: ADALINE;non linear least squares;harmonic current detection;APF