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基于谐波分离的学生公寓负载特性识别
引用本文:郑宇,姚加飞.基于谐波分离的学生公寓负载特性识别[J].电气应用,2007,26(8):113-116.
作者姓名:郑宇  姚加飞
作者单位:重庆大学电气工程学院,400044
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.

关 键 词:负载识别  神经元  谐波检测
修稿时间:2006年10月8日

Load Characteristic Identification Based on Separation of Harmonics in Student's Apartments
Zheng Yu.Load Characteristic Identification Based on Separation of Harmonics in Student''''s Apartments[J].Electrotechnical Application,2007,26(8):113-116.
Authors:Zheng Yu
Affiliation:Chongqing University
Abstract: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 detectio n model based on neural cells.Finally,the identification arithmetic flow is giv en and the new method was approved by simulation.
Keywords:load identification neural cell harmonics detection
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