摘要
为提高智能电表数据的低电压电流优化控制能力,提出基于电力数据融合调度的智能电表数据低电压电流优化算法。通过计算低电压电流状态特征量构建集成电路,并对电路输入电压电流进行传输控制。在集成电路中采用模糊决策树控制方法进行低电压电流控制过程中的自适应寻优,构建电表数据的网络结构参数调节模型,根据量测数据相关性及变化规律实现低电压电流优化。仿真结果表明,采用该方法进行低电压电流优化控制的融合调度性能较好,在时序特性上与真实量测具有较好的保持性,提高了智能电表数据的检测和分析能力。
In order to improve the low-voltage current optimization and control capability of smart meter data,an algorithm of low-voltage current optimization of smart meter data based on power data fusion scheduling is proposed. The integrated circuit is constructed by calculating the characteristic quantity of low-voltage current state,and the transmission control of the circuit input voltage current is carried out.In the integrated circuit,fuzzy decision tree control method is used for adaptive optimization in the process of low-voltage current control. The simulation structure shows that the fusion scheduling performance of low voltage and current optimization control using this method is good,and it has good retention in timing characteristics and real measurement,and improves the detection and analysis ability of intelligent electric meter data.
作者
高阳
李汐
华书蓓
李立伟
汪涛
于洋洋
GAO Yang;LI Xi;HUA Shu-bei;LI Li-wei;WANG Tao;YU Yang-yang(State Grid QingHai Electric Power Company Research Institute,Xining 810000,China;Beijing Smartchip Microelectronics Technology Co.,Ltd.,Beijing 100192,China)
出处
《电子设计工程》
2020年第3期133-137,共5页
Electronic Design Engineering
关键词
智能电表数据
低电压电流
控制
融合调度
模糊决策
intelligent meter data
low voltage and current
control
fusion scheduling
fuzzy decision
