基于神经网络的有源电力滤波器的研究和分析

Research and Analysis of Active Power Filter Based on Neural Network

随着电力电子技术的发展，由于电力系统中的各种新型非线性负载带来的谐波危害也越来越严重，有源电力滤波器是对谐波进行检测、补偿并消除的有效方法，文中对有源电力滤波系统的工作原理进行了简要分析，同时提出了一种基于神经网络的检测方法，设方法主要是使用神经网络对电阻等负载造成的谐波进行有效分析，给原滤波器相对应的电力系统中的基波有功电流的检测更加完善和彻底，仿真结果验证了该设计理论及其分析结果是正确的。

With the development of the power of electronics technology, due to a variety of new non-linear loads are growing has caused much harmonic in power system, acuve power filter is the effective way to harmonic and compensate for the elimination.The working principle of active power filter system are briefly analyzed for this paper, and proposed a detection method based on neural networks, which are mainly using neural network load caused by harmonic resistance, etc.for effective analysis, to the original filter detection of the corresponding power system fundamental acfi,;c current of more complete and thorough simulation results validate the design theory and analysis results are correct.