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提出了低压电力线载波通信基础上的用电信息采集系统的用电量数据分析方法和基于k-means聚类以及其聚类有效度的用电量数据分析方法.以历史良好用电量数据作为基类,然后与当前时刻用电量数据进行聚类分析,判别当前时刻用电量数据是否异常,最终识别出当前时刻用电量数据是否异常,异常则存入异常集并待检测.另外,错误抄表时刻存入错误集.最后,对该用电量数据分析进行Matlab仿真验证.仿真结果证明,所提方法有效地识别出异常数据,可以应用到用电信息采集系统中,从而达到提高用电信息采集系统的运行可靠性的目的.“,”This paper presents a method which is based on thek-means clusters and effective degree of clustering to analyze the data of electricity consumption.This paper extracts good historical data as the basic cluster and then the electricity consumption data at present takes clusters analysis with the basic cluster to identify whether the data is abnormal or not.The data will be put into the abnormal set if it is recognized as the abnormal data.In addition,the wrong data will be put into the wrong set directly.Finally,this paper takes MATLAB simulation to verify the feasibility of the method.The results of simulation show that the method can effectively identify the abnormal data and the method can be applied to the electricity information collection system so as to improve the reliability of operation.