彭显刚;郑凯;林哲昊;朱俊超;李壮茂;

• 1:广东工业大学自动化学院

摘要(Abstract)：

针对现有居民用户非侵入式负荷分解需要高频采集数据或大量训练样本的问题,提出了一种基于谱图理论的非侵入式负荷分解方法。首先,以用户总负荷采样信号的相邻采样点差值来建立图结构,同时通过对用电设备信号采样点差值的分类来定义用电设备的图信号;然后,通过图拉普拉斯变换得到的图信号全局平滑度函数来实现用电设备图信号未知部分的重构。在用电设备时序信号的重构过程中采用了模糊规整方法来解决采样信号平滑性所导致的重构图信号数值的非标准化问题;对重构的用电设备图信号中相邻非零值间所对应的同时段负荷时序信号值赋以该用电设备的对应状态数据,从而实现用电设备时序信号的重构。最后采用AMPds数据集进行了仿真实验,结果表明所提方法有效且实用,能够在较低采样频率和先验信息较少的条件下实现较高精度的负荷分解。

关键词(KeyWords)： 非侵入式负荷分解;谱图理论;图拉普拉斯变换;信号恢复

Abstract:

Keywords:

基金项目(Foundation):

作者(Author): 彭显刚;郑凯;林哲昊;朱俊超;李壮茂;

Email:

DOI: 10.13335/j.1000-3673.pst.2017.2301

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