摘要
针对日益严重的电力系统谐波污染问题,文章介绍了一种新型的嵌入式谐波检测装置的设计。该装置采用主从结构,以单片机为主CPU控制整个装置的运行,以DSP为从CPU进行数据处理,并采用一种新型的谐波检测算法——卡尔曼算法,以最小均方误差为准则,根据前一个观测数据和最近的一个观测数据,利用状态方程和递推方法估计当前过程状态,可实时、可靠地检测电网中的谐波,具有运算速度快、精度高、结构简单、造价相对低廉、操作简便、显示功能强等特点。仿真结果证明了该装置的有效性和可靠性。
Aiming at increasingly serious problem of harmonic pollution in power system, the paper introduced design of a new type of embedded harmonic detection device. The device adopts master-slave structure, which takes single-chip microcomputer as main CPU to control running of the whole device and takes DSP as slave CPU to process data, and adopts a new type of harmonic detection algorithm named kalman algorithm, which takes the minimum mean square error as rule and uses state equation and recurrence method to estimate present process state according to the last observed data and the most recent one. The device can detect harmonic in power grid real-timely and reliably and has characteristics of fast operation speed, high precision, simple structure, correspondingly low cost, easy operation and strong display function. The simulation result showed the validity and reliability of the device.
出处
《工矿自动化》
2009年第7期48-51,共4页
Journal Of Mine Automation
基金
辽宁省教育厅基金项目(20060383)
关键词
电力系统
谐波检测
单片机
DSP
卡尔曼算法
嵌入式系统
power system, harmonic detection, single-chip microcomputer, DSP, kalman algorithm, embedded system
