作　　者： ; ; ; ;

机构地区： 中南大学信息科学与工程学院

出　　处： 《计算机测量与控制》 2007年第9期1148-1150,共3页

摘　　要： 随着各种电力电子装置和非线性负荷的大量应用,电力系统的谐波污染日益严重;基于神经元自适应理论的谐波检测方法,利用TMS320LF2407进行谐波检测系统开发;因系统的复杂算法全采用软件来实现从而硬件结构简单,克服了模拟系统的不足;该系统测试结果表明谐波和无功电流分离效果较好,达到了国家B级谐波检测标准;目前该系统已于郑州中孚铝业投入使用,效果理想。 Along with massive applications of the power electronic equipments and non-linear loads, the harmonic pollutions are becoming seriously day by day. By the harmonic detection method based on the neuron adaptive theory, a harmonic detection system is developed with TMS320I.F2407. As the system complex algorithm all be realized by the software, the hardware architecture of the system becomes simple and this overcomes the insufficiencies of the analog system. In addition, test results show that the harmonics and the idle current separation effect is perfect, which has achieved the GB B of harmonic detection standard. At present the system has been put into operation in Zhong Fu Aluminum Industry successfully.

关 键 词： 神经元 自适应 谐波检测

领　　域： [电气工程]