基于LSQR与系统距离聚类算法的专变用户非介入式负荷辨识

易姝慧; 郭俊岑; 刁新平; 刁赢龙

易姝慧,郭俊岑,刁新平,刁赢龙.基于LSQR与系统距离聚类算法的专变用户非介入式负荷辨识[J].电测与仪表,2022,59(6):60-68.
Yi Shuhui,Guo Juncen,Diao Xinping,Diao Yinglong.Non-intrusive load identification for special transformer users based on LSQR and system distance clustering algorithm[J].Electrical Measurement & Instrumentation,2022,59(6):60-68.

基于LSQR与系统距离聚类算法的专变用户非介入式负荷辨识

Non-intrusive load identification for special transformer users based on LSQR and system distance clustering algorithm

DOI：DOI: 10.19753/j.issn1001-1390.2022.06.009

中文关键词: 非介入式负荷辨识专变用户负荷特征提取 LSQR 系统距离聚类算法

英文关键词:non-intrusive load identification, special transformer users, load feature extraction, LSQR, system distance clustering algorithm

基金项目:国家电网公司总部科技项目（专变用户非介入式负荷辨识感知技术研究与典型应用5600-202024168A-0-0-00）

作者中文名	作者英文名	单位
易姝慧	Yi Shuhui	中国电力科学研究院有限公司
郭俊岑	Guo Juncen	中国电力科学研究院有限公司
刁新平	Diao Xinping	中国电力科学研究院有限公司
刁赢龙	Diao Yinglong	中国电力科学研究院有限公司

摘要点击次数: 2439

中文摘要:

专变用户非介入式负荷辨识是实现以专变用户为主体的需求侧响应的重要环节。通过对专变用户负荷稳态过程与暂态过程的特征分析，选取有功功率、无功功率、电流有效值等作为稳态过程特征量，并选取暂态发生前、中、后三个阶段的特征量，如电流有效值、有功功率均值、无功功率均值、持续时间、电流有效值最大值等，构建全面的非介入式负荷辨识稳态过程与暂态过程负荷特征空间。以此为基础，利用最小二乘QR分解算法（Least Square QR，LSQR）进行稳态过程负荷分解获得各种负荷的运行情况。并基于系统距离聚类算法将常见专变用户负荷暂态事件进行分类，进一步辨识出哪一种或者哪一类负荷发生投切动作。最后，采集包括排水泵、搅拌机、水泥螺旋、污水泵、除尘器等工业负荷现场数据，对所提到的方法进行了仿真分析，结果表明所提的非介入式负荷辨识方法可获得较高的准确率。

英文摘要:

Non-intrusive load identification for special transformer users is an important step to realize the demand-side response with special transformer users as the main subject. Through the feature analysis on the steady-state process and transient-state process of the special transformer users loads, the active power, reactive power, current effective value, etc., are selected as the characteristic quantities of the steady-state process. Moreover, the characteristic quantities before, during and after the occurrence of transient, such as current effective value, active power average, reactive power average, duration, maximum effective current value, etc., are selected to construct a comprehensive load feature space based on the steady-state process and the transient process for non-intrusive load identification. On this basis, the least square QR (LSQR) decomposition algorithm is used to decompose the steady-state composite load in order to obtain the operation of various loads. And the system distance clustering algorithm is proposed to classify transient events of the common industrial loads and further identify which type of loads has switched. Finally, the field data of industrial loads including drainage pumps, mixers, cement spirals, sewage pumps, dust collectors, etc., is collected and the simulation analysis of the proposed method is carried out. The results show that the non-intrusive load identification method proposed in this paper can achieve high accuracy.

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