电力系统保护与控制2025，Vol.53Issue(13)：117-127,11.DOI:10.19783/j.cnki.pspc.241298
基于ISCSO的智能电表误差和线损率联合评估模型
Joint evaluation model of smart meter error and line loss rate based on ISCSO
摘要
Abstract
To address the issue of low accuracy in the joint evaluation of smart meter errors and line loss rates,a joint evaluation model based on the improved sand cat swarm optimization(ISCSO)algorithm is proposed.First,the fitness function of the model is determined using a typical station topology structure and the law of energy conservation,and parameter ranges are determined based on area data.Next,the original sand cat swarm optimization algorithm is improved using a zoomed good point set,a Weibull optimal value-guided strategy,the dandelion optimizer,and an associative learning mutation strategy.The superiority of the improved algorithm is verified using benchmark test functions.Finally,the joint evaluation model for smart meter errors and line loss rates is established based on the fitness function and the improved algorithm.Case studies verify that the proposed method significantly improves the evaluation accuracy of smart meter errors and line loss rates compared to the dynamic line loss smart meter error evaluation model based on recursive least squares with a forgetting factor,and the constrained optimization model for joint evaluation of smart meter error and line loss rate.关键词
智能电表/线损率/沙猫群优化算法/误差评估Key words
smart meter/line loss rate/sand cat swarm optimization algorithm/error evaluation引用本文复制引用
余传祥,潘傲然,毛文鹏,郭豪杰,余霖辉..基于ISCSO的智能电表误差和线损率联合评估模型[J].电力系统保护与控制,2025,53(13):117-127,11.基金项目
This work is supported by the Management Science and Technology Project of the Headquarters of State Grid Corporation of China(No.5700-202327261A-1-1-ZN). 国家电网有限公司总部管理科技项目资助(5700-202327261A-1-1-ZN) （No.5700-202327261A-1-1-ZN）
