面向充电桩未授权接入判别的电动汽车负荷非侵入式识别方法

A Non-Intrusive Electric Vehicle Load Identification Method for Detecting Unauthorized Access to Charging Piles

中文关键词:电动汽车  充电负荷  非侵入式负荷监测  间谐波分析  充电桩  未授权接入

keywords:electric vehicle  charging load  non-intrusive load monitoring  interharmonic analysis  charging piles  unautho-rized access

中文摘要:针对充电桩未授权接入隐蔽性强、检测难度大的问题，提出一种融合高、低频特征的非侵入式电动汽车充电负荷识别方法。该方法基于充电过程中有功功率数据和电流录波数据，分别构建低频和高频信号的充电负荷识别模型，当任一模型判定存在充电行为时，即认定发生未授权充电。案例分析表明，该方法可以有效提高对电动汽车充电负荷识别的准确率，实现未授权接入行为精准识别，为电动汽车充电桩合规接入电网提供技术支撑。

Abstract:To address the issues of high concealment and great difficulty in detection associated with unauthorized access to charging piles，this study proposes a non-intrusive electric vehicle （EV） charging load identification method that integrates high-frequency and low-frequency features. Based on the active power data and current recording data during the charging process，the method constructs charging load identification models for low-frequency and high-frequency signals respectively. Unauthorized charging is determined to occur when either model identifies a charging behavior. Case analysis shows that this method can effectively improve the accuracy of EV charging load identification，achieve precise recognition of unauthorized access，and provide technical support for the compliant access of EV charging piles to the power grid.