浙江电力

2019, v.38;No.284(12) 15-19

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基于小波消噪法的电动汽车直流充电电能计量算法优化
Optimization of Electric Energy Metering Algorithm for the DC Charging of Electric Vehicle Based on Wavelet Denoising

尤子龙,徐璟,张丛余,李静,边惠萍,杨昌富
YOU Zilong,XU Jing,ZHANG Congyu,LI Jing,BIAN Huiping,YANG Changfu

摘要(Abstract):

在常规直流电能计量算法的基础上,针对目前非线性负荷对直流计量准确度影响显著的问题,提出了电动汽车直流充电时的改进计量算法,将离散小波消噪法和梯形积分法引入电动汽车直流充电电能计量;利用离散小波消噪法对采样电压和采样电流信号进行滤波处理,进而得到功率,再利用梯形积分法对功率积分从而实现电能计量。与传统的直流计量法相比,所提改进算法的结构简单、计量精度更高,适合电动汽车的直流充电电能计量。
Based on analyzing the conventional DC electric energy metering algorithm, an improved metering algorithm for DC charging of electric vehicle is put forward, aiming at solving the problem that the nonlinear load has a significant influence on the accuracy of DC metering. The discrete wavelet denoising method and trapezoidal integration method are introduced into electric energy metering for the DC charging of electric vehicle. The sampling voltage and current signals are filtered and processed by discrete wavelet denoising method, to get the power, and the electric energy metering is realized by using the trapezoidal integration method to integrate the power. Compared with the traditional DC metering method, the algorithm adopted in this paper has the advantages of simpler structure and higher metering accuracy and is suitable for electric energy metering of the DC charging of electric vehicles.

关键词(KeyWords): 直流计量;电动汽车直流充电;离散小波消噪;梯形积分
DC metering;DC charging of electric vehicle;discrete wavelet denoising;trapezoidal integration

Abstract:

Keywords:

基金项目(Foundation): 国网浙江省电力有限公司科技项目(5211LS170004)

作者(Author): 尤子龙,徐璟,张丛余,李静,边惠萍,杨昌富
YOU Zilong,XU Jing,ZHANG Congyu,LI Jing,BIAN Huiping,YANG Changfu

DOI: 10.19585/j.zjdl.201912003

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