引用本文:张丽强,丛伟,董罡,缪庆庆,孙海彬,孙允.基于多元线性回归的单相电表相别判断方法[J].电力自动化设备,2020,40(5):
ZHANG Liqiang,CONG Wei,DONG Gang,MIAO Qingqing,SUN Haibin,SUN Yun.Method for single-phase electric meter phase identification based on multiple linear regression[J].Electric Power Automation Equipment,2020,40(5):
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基于多元线性回归的单相电表相别判断方法
张丽强1, 丛伟1, 董罡2, 缪庆庆3, 孙海彬3, 孙允3
1.山东大学 电网智能化调度与控制教育部重点实验室,山东 济南 250061;2.国网山东省电力公司,山东 济南 250001;3.国网山东省电力公司济宁供电公司,山东 济宁 272100
摘要:
单相电表的相别信息对提高负荷管理和建模水平、改善供电质量和供电可靠性具有重要意义。依据单相电表采集电气量与供电台区关口电表采集电气量间的关联关系,提出一种基于多元线性回归的单相电表相别判断方法,构建了以关口电表电压、电流和单相电表电流为自变量,以单相电表电压为因变量的多元线性回归方程,对每一个单相电表分别计算其与关口电表A、B、C相构成的3个回归方程的决定系数,根据决定系数的大小来判断相别。利用实际抄表数据对所提方法进行了算例分析,分析结果表明所提方法具有较高的准确性和可靠性。
关键词:  单相电表  相别判断  多元线性回归  决定系数  高级量测系统
DOI:10.16081/j.epae.202003023
分类号:TM933
基金项目:国家自然科学基金资助项目(51877126);山东省自然科学基金资助项目(ZR2019MEE098)
Method for single-phase electric meter phase identification based on multiple linear regression
ZHANG Liqiang1, CONG Wei1, DONG Gang2, MIAO Qingqing3, SUN Haibin3, SUN Yun3
1.Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education, Shandong University, Jinan 250061, China;2.State Grid Shandong Electric Power Company, Jinan 250001, China;3.Jining Power Supply Company of State Grid Shandong Electric Power Company, Jining 272100, China
Abstract:
The phase information of single-phase electric meter is crucial to improve the level of load management, the quality of modeling, as well as the quality and the reliability of power supply. According to the relationship between the electric quantities collected by the single-phase electric meter and the gateway meter in the power supply region, a method for single-phase electric meter phase identification based on multiple linear regression is proposed. The multiple linear regression equation takes the single-phase electric meter voltage as the dependent variable. Meanwhile, it takes the gateway meter voltage, the gateway meter current and the single-phase electric meter current as the independent variables. Each single-phase electric meter forms three regression equations with the gateway meter phase A, B and C respectively. The determination coefficients of the three regression equations are calculated. According to the value of the coefficients, the phase of single-phase electric meter is determined. An example is given to analyze the proposed method with actual energy meter reading data. The analysis results show that the proposed method has higher accuracy and reliability.
Key words:  single-phase electric meter  phase identification  multiple linear regression  determination coefficient  advanced metering infrastructure

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