| 引用本文: | 黄书俊,刘鑫,苏盛,郑应俊,汪干,周文晴.基于多表合一的居民水电异常使用行为分析[J].电力自动化设备,2023,43(8):210-216 |
| HUANG Shujun,LIU Xin,SU Sheng,ZHENG Yingjun,WANG Gan,ZHOU Wenqing.Analysis on abnormal utilization of water and electricity of residential users based on multi-meter integration[J].Electric Power Automation Equipment,2023,43(8):210-216 |
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| 摘要: |
| 结合Copula分布函数分析居民用户的水电用量之间的相关性，在此基础上提出基于日水、电用量距离相关系数的密度聚类水电异常使用行为分析方法，计算逐日用电量与用水量的距离相关系数来衡量其信息相关度。利用具有噪声的基于密度的聚类(DBSCAN)算法对台区用户的距离相关系数进行聚类，将水、电使用数据距离相关系数曲线与其他用户差异较大的识别为异常用户。基于实际低压台区用户水电数据的测试算例验证了所提方法的有效性。 |
| 关键词: 多表合一 水电二元联合分布 行为分析 水电异常 距离相关系数 DBSCAN |
| DOI：10.16081/j.epae.202212005 |
| 分类号:TM715 |
| 基金项目:国家自然科学基金资助项目(51777015)；湖南省教育厅重点项目(19A011) |
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| Analysis on abnormal utilization of water and electricity of residential users based on multi-meter integration |
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HUANG Shujun1, LIU Xin2, SU Sheng3, ZHENG Yingjun3, WANG Gan3, ZHOU Wenqing3
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1.Dongguan Power Supply Bureau of Guangdong Power Grid Co.,Ltd.,Dongguan 523000, China;2.State Grid Hunan Power Supply Service Center(Metering Center),Changsha 410116, China;3.School of Electrical and Information Engineering, Changsha University of Science & Technology, Changsha 410114, China
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| Abstract: |
| Combining with the Copula distribution function, the correlation between water and electricity consumption of residential users is analyzed. On this basis, a density-clustering method based on the distance correlation coefficient of daily water consumption and electricity consumption is proposed to analyze the abnormal utilization of water and electricity, and the distance correlation coefficient of daily electricity consumption and water consumption is calculated to measure the information correlation. Then density-based spatial clustering of applications with noise(DBSCAN) algorithm is used to cluster the distance correlation coefficients of users in the platform area. The users with a very different distance correlation coefficient curve of water and electricity consumption data far from that of other users are identified as abnormal users. The effectiveness of the proposed method is verified by the test example based on the actual user water and electricity consumption data in low-voltage platform area. |
| Key words: multi-meter integration combined distribution of water and electricity behavior analysis abnormal water and electricity distance correlation coefficient DBSCAN |
