摘要
为了改善传统远程抄表系统中误差估计时存在的精度和实时性不足等缺陷,提出了一种远程抄表误差估计系统。提出了自适应双参数递推最小二乘算法,实现同时估计线损参数和电表误差参数;为提高模型鲁棒性,通过自适应参数动态调整遗忘因子,保证了新数据对参数估计的灵活校正能力。仿真阶段,以某变电站实测电表数据为例,结果表明,所提方法能够接近线损和电表误差实际情况。
In order to improve the accuracy and real-time of error estimation in traditional remote meter reading system,a remote meter reading error estimation system is proposed.An adaptive two parameter recursive least squares algorithm is proposed to estimate line loss parameters and meter error parameters,simultaneously.In order to improve the robustness of the model,the forgetting factor is dynamically adjusted by adaptive parameters to ensure the flexible correction ability of new data to parameter estimation.In the simulation stage,taking the measured meter data of a substation as an example,the results show that the proposed method can approach the actual situation of line loss and meter error.
作者
魏华杰
WEI Huajie(Shenzhen Power Supply Co.,Ltd.,Shenzhen 518000,China)
出处
《微型电脑应用》
2023年第8期225-228,共4页
Microcomputer Applications
关键词
远程抄表
误差估计
线损率
最小二乘法
remote meter reading
error estimation
line loss rate
least square method
