基于谐波分离的学生公寓负载特性识别  

Load Characteristic Identification Based on Separation of Harmonics in Student's Apartments

作　　者：郑宇[1] 姚加飞[1] 

机构地区：[1]重庆大学电气工程学院,400044

出　　处：《电气应用》2007年第8期113-116,共4页Electrotechnical Application

摘　　要：给出了一种基于负载电流谐波分量分离的学生公寓负载特性识别方法,并且以一种改进的基于神经元的自适应谐波电流检测模型,解决了负载识别中电流谐波分量检测的关键问题,最后给出了识别算法流程,并通过仿真予以验证。A method based on separation of load current harmonics component for identifying the load of student＇ s apartments is provided and solves the key problem about detection of current harmonics, by improved adaption harmonics currents detection model based on neural cells. Finally, the identification arithmetic flow is given and the new method was approved by simulation.

关 键 词：负载识别 神经元 谐波检测 

分 类 号：TM76[电气工程—电力系统及自动化] TM714