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基于智能电表的电器用电量分类计量方法研究 被引量:5

Research on electricity consumption classification and measurment method based on smart meter
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摘要 随着电力需求侧对于用电管理的重视度提升,只提供用户总电量计量的电表已无法满足人们的要求,为此,开创性地提出了在通用电表上实现用电器用电量分类计量方法。该方法利用电表的数据采集及处理功能获取用电器特征后,将该暂态告警信息上传至云端与预先建立的SVM模型进行类别匹配,从而判定用电器类型及相应的用户操作,同时将识别结果及告警时间存入数据库,后续通过分类计量策略实现各类用电器单独的耗能量计算。实例验证了该方法的准确性及可靠性,该方法具有较大实际应用价值。 With the increasing attention of power demand side to power consumption management,the electric meter that only provides the total electricity consumption of the users can no longer meet the requirements of people.Therefore,this paper creatively put forward a method that realized the classification of the electricity consumption of the electric appliance on the universal electric meter.After obtaining the characteristics of the electrical appliance by using the data collection and processing function of the electric meter,the transient alarm information is uploaded to the cloud and matched with the pre-established SVM model for class matching,thereby the type of the electrical appliance and the corresponding user operation can be determined,and simultaneously the identification results and alert time are stored in the database.The energy consumption calculation of each type of electrical appliances is realized through the classification measurement strategy.The accuracy and reliability of the method are verified by examples.This method has great practical application value.
作者 梅凯 蔡高琰 骆德汉 梁炳基 Mei Kai;Cai Gaoyan;Luo Dehan;Liang Bingji(School of Information Engineering,Guangdong University of Technology,Guangzhou 510006,China;Hodi Technology Co.Ltd.,Foshan 528200,China)
出处 《信息技术与网络安全》 2020年第2期62-68,共7页 Information Technology and Network Security
关键词 负荷识别 智能电表 电力需求侧管理 SVM 分类计量 load identification smart meter power demand side management SVM classification and measurment
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