一种用电信息采集系统异常电量数据的识别与修复方法

当前，用电信息采集系统基本实现了全覆盖，可为多种业务提供数据支撑。但由于采集设备故障、通信信道不稳定以及外界干扰等原因，往往会使用电信息采集系统采集到异常的电量数据，这会造成基于电量数据的各种应用分析失去准确性甚至无法进行。因此，必须对用电信息采集系统采集到的异常电量数据进行识别与修复。文章基于负荷数据与电量数据的物理规律以及相应的数学算法，提出了一种用电信息采集系统异常电量数据的识别与修复方法。该方法将出现异常电量数据的用户按负荷数据分为有完整负荷数据、有不完整负荷数据以及无负荷数据三种类型，并分别建立了各类型相对应的异常电量修复数学模型。通过算例分析验证了该方法的有效性。

A method of identifying and repairing abnormal electric energy data in electric information acquisition system

At present, the electric information acquisition system has basically realized full coverage, which provides data support for a variety of services. Due to the failure of the acquisition equipment, the unstable communication channel and the external interference, the abnormal electric energy data will be collected by the electric information acquisition system. It is necessary to identify and repair the abnormal electric energy data. This article proposed a method of identifying and repairing abnormal data in acquisition system based on the physical laws of load data and electric energy data and corresponding mathematical algorithm. According to the load data, the power consumers are divided into three types, such as full load data, incomplete load data and no load data. And the mathematical models of abnormal electric energy repair corresponding to each type are established respectively. The validity of the proposed method was demonstrated by calculation examples.