基于改进动量因子Adaline算法的SAPF谐波检测方法  

SAPF harmonic detection method based on improved factor of momentum Adaline algorithm

作　　者：杨桢[1] 孟亨 仝泽仁 马子莹 李丽 YANG Zhen;MENG Heng;TONG Zeren;MA Ziying;LI Li(Faculty of Electrical and Control Engineering,Liaoning Technical University,Huludao 125105,China;Fuxin Branch,State Grid Liaoning Electric Power Co Ltd,Fuxin 123000,China)

机构地区：[1]辽宁工程技术大学电气与控制工程学院,辽宁葫芦岛125105 [2]国网辽宁省电力有限公司阜新供电分公司,辽宁阜新123000

出　　处：《传感器与微系统》2020年第9期135-137,共3页Transducer and Microsystem Technologies

摘　　要：针对传统大功率高电压情况下并联有源电力滤波器(SAPF)装置谐波检测精度不高的问题,提出一种基于改进动量因子优化Adaline网络的自适应谐波电流检测算法。引入双动量因子修正Adaline网络的权值调整公式,以提升网络稳定性并加快收敛。采用载波相移—正弦波脉宽调制(CPS-SPWM)方式,构建基于改进动量因子Adaline算法的级联H桥SAPF仿真模型,仿真结果表明:与传统Adaline检测算法相比,所提算法响应误差减小16.56%,收敛速度提升33.33%,具有较好的电流检测效果。Aiming at the problem of low precision of harmonic detection in shunt active power filter(SAPF)device under the condition of traditional large power and high voltage,an adaptive harmonic current detection algorithm based on improved momentum factor optimization Adaline network is proposed.The two-momentum factor modified Adaline network weight adjustment formula is introduced to improve network stability and accelerate convergence.A cascaded H bridge SAPF simulation model based on the improved momentum factor Adaline algorithm is constructed by using the carrier phase shifted-sinusoidal pulse width modulation(CPS-SPWM)modulation method.Simulation results show that,compared with the traditional Adaline detection algorithm,the proposed algorithm reduces the response error by 16.56%,improves the convergence rate by 33.33%,and has a better current detection effect.

关 键 词：动量因子 并联有源电力滤波器(SAPF) Adaline算法 谐波检测 

分 类 号：TM714.3[电气工程—电力系统及自动化]