电网技术2026，Vol.50Issue(3)：1279-1289,11.DOI:10.13335/j.1000-3673.pst.2024.2113
计及负荷特征稀缺的多尺度非侵入式工业负荷分解
Multi-scale Non-intrusive Industrial Load Decomposition Considering the Scarcity of Load Characteristics
摘要
Abstract
This paper proposes a multi-scale non-intrusive industrial load decomposition method considering scarce load characteristics.The total power consumption is regarded as the load consumption data of a virtual electrical equipment,and the working state of the virtual electrical equipment is taken as a load decomposition feature to increase the types of input features.To overcome the non-equilibrium problem of industrial load data,an adaptive density peak clustering algorithm is used to determine the working state of the total power sequence,and the Gram angle field method is used to transform the active power sequence and the working state sequence into two-bit image features.To improve the accuracy of load decomposition,the dilated convolution is used to construct the load decomposition model,expand the receptive field of the convolution kernel,and extract the load characteristics of different scales.Three scenarios are designed to evaluate the effectiveness of the model.关键词
非侵入式负荷分解/非平衡性/负荷特征稀缺/工业负荷/多尺度负荷分解模型Key words
non-intrusive load decomposition/non-equilibrium/scarce load characteristics/industrial load/multi-scale load decomposition model分类
信息技术与安全科学引用本文复制引用
黄南天,王东旭,刘建飞,蔡国伟..计及负荷特征稀缺的多尺度非侵入式工业负荷分解[J].电网技术,2026,50(3):1279-1289,11.基金项目
国家重点研发计划项目(2022YFB2404002).Project Supported by National Key R&D Program of China(2022YFB2404002). （2022YFB2404002）
