电力系统及其自动化学报2011，Vol.23Issue(3)：24-29,6.
神经网络与锁相环相结合的谐波检测方法
Method of Harmonic Detection Based on Neural Network Combined with Phase-Locked Loop
摘要
Abstract
In order to improve the harmonic detection precision and real-time of active power filter(APF), a harmonic detection method combined artificial neural network (ANN)with the phase-locked loop (PLL)was propsed in the paper. Neural network computing the fundamental amplitude,and PLL output unit amplitude of the current. Multiplying them obtain grid base wave current,and pure harmonic current can be calculated with grid current minus the grid base wave current. Compared with ip-iq traditional harmonic detection phase, the proposed method does not contain low-pass filter,which is a great improve in accuracy and real-time. The advantages of less delay,high precision and easy to use software to realize make the proposed method more suitable for active power filter harmonic detection. MATLAB simulation verifies its effectiveness and superiority.关键词
谐波检测/有源电力滤波器/延时/神经网络/锁相环Key words
harmonic detection/ active power filiter/ delay/ neural network/ phase-locked loop分类
信息技术与安全科学引用本文复制引用
马立新,肖川,林家隽,郑益文..神经网络与锁相环相结合的谐波检测方法[J].电力系统及其自动化学报,2011,23(3):24-29,6.基金项目
国家科技部政府间科技合作项目(2009014) （2009014）
上海市高等学校高地建设项目 （）
