摘要
在传统的数据融合过程中,由于对原始数据的分析精度较低,导致最终的融合结果无法准确体现整体数据的发展情况,为此提出基于小波变换的电力计量数据融合方法.在构建了具有连续性、快速收敛性和较高适应性的阈值函数基础上,利用小波变换的方式将原始的电力计量数据分解为多个独立的数据参量,根据数据与对应设备额定运行参数之间的关系对数据进行分类处理,最后按照分类结果对数据进行融合计算.测试结果中,设计方法的融合结果与电力系统的实际运行状态参数之间的误差始终小于1.78%,能够实现准确反馈整体数据发展情况的目的.
In the traditional data fusion process,due to the low analysis accuracy of the original data,the final fusion result can not accurately reflect the development of the overall data.Therefore,the research on power metering data fusion method based on wavelet transform is proposed.On the basis of constructing a threshold function with continuity,fast convergence and high adaptability,the original power metering data is decomposed into several independent data parameters by using wavelet transform.According to the relationship between the data and the rated operating parameters of the corresponding equipment,the logarithmic data are classified and processed.Finally,the data are fused according to the classification results.In the test results,the error between the fusion results of the design method and the actual operating state parameters of the power system is always less than 1.78%,which can achieve the purpose of accurately feedback the overall data development.
作者
张诗慧
张丰绪
ZHANG Shihui;ZHANG Fengxu(State Grid Beijing Haidian Power Supply Company,Beijing 100085,China)
出处
《通信电源技术》
2023年第1期72-74,共3页
Telecom Power Technology
关键词
小波变换
电力计量数据
阈值函数
额定运行参数
分类处理
融合计算
wavelet transform
electricity metering data
threshold function
rated operating parameters
classification processing
fusion computing
