Research on Non-invasive Specific Electrical Load Identification Based on VMD Algorithm

Zhao Zhihua, Wang Huanning, Huang Yan, Yao Hejun, Li Nan, Tan Hengyu, Liu Yuan
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Abstract

Non-invasive load identification method can judge the type and working status of electrical load without disturbing users' power consumption. It is an important part of smart grid technology. In this paper, a specific electrical load identification method based on Variational Modal Decomposition (VMD) algorithm is proposed, which can effectively identify electrical loads with high potential safety hazards such as electric bicycles, and finally achieve good load identification effect. It can be used as an identification means to reduce specific harmful loads in urban management.
基于VMD算法的无创特定电负荷识别研究
无创负荷识别方法可以在不影响用户用电的情况下判断用电负荷的类型和工作状态。它是智能电网技术的重要组成部分。本文提出了一种基于变分模态分解(VMD)算法的特定电负荷识别方法,该方法可以有效识别电动自行车等具有高安全隐患的电负荷,最终达到良好的负荷识别效果。它可以作为城市管理中减少特定有害负荷的识别手段。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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