光伏新能源电能信号游程域模态分解理论与特征提取  

Run domain empirical mode decomposition theory and feature extraction of photovoltaic new energy electricity signal

作　　者：王学伟[1] 杨江宁 WANG Xuewei;YANG Jiangning(School of Information Science and Technology,Beijing University of Chemical Technology,Beijing 100029,China)

机构地区：[1]北京化工大学信息科学与技术学院,北京100029

出　　处：《电力自动化设备》2025年第1期92-98,共7页Electric Power Automation Equipment

基　　金：国家电网公司总部科技项目(5700⁃202211214A⁃1⁃1⁃ZN)。

摘　　要：高比例光伏新能源接入下的电能信号呈现出强随机、快时变、大波动特性,常导致电能表电能计量严重超差,影响电能交易的公正合理性。针对新能源电能信号敏感特征不清楚、对电能表电能计量影响不明确的问题,建立了游程域映射理论,解决了电能信号在游程域的表征问题;提出了游程域模态分解(R-EMD)方法,基于游程完成电流幅度在长持续时间下局部区间的自适应模态分解,得出光伏新能源电能信号的2个全局重要特征;构建了游程域特征参量与特征函数,并提取得到光伏新能源电能信号的4个游程域敏感特征;通过实验验证了游程域敏感特征对电能计量的影响。The electricity signal under the high proportion of photovoltaic new energy integration exhibits strong randomness,fast time-varying and large fluctuation characteristics,which often leads to serious over tolerance of electricity metering of electric energy meters and affects the fairness and rationality of electricity trading.Regarding the issues of unclear sensitive characteristics of new energy electricity signals and unclear impact on energy metering of electricity meters,the theory of run domain mapping is established,which solves the problem of characterizing electric energy signals in the run domain.The run domain empirical mode decomposition(R-EMD)method is proposed.Two globally important features of photovoltaic new energy electricity signals are obtained based on adaptive mode decomposition of current amplitude in local intervals over long durations.Then,the characteristic parameters and functions in the run domain are constructed,and four sensitive features in the run domain of the photovoltaic new energy electricity signals are extracted.The influence of run domain sensitive features on electricity metering is verified through experiments.

关 键 词：光伏新能源 电能计量 电能表误差 模态分解 特征提取 

分 类 号：TM93[电气工程—电力电子与电力传动]