基于时序关联特性的错误接线漏电用户定位方法

User location method of Erroneous wiring and leakage electricity based on timing correlation characteristics

针对用户零线、地线错误接线故障引起的台区剩余电流超标、剩余电流动作保护器(RCD)投运率低和漏电事故频发的问题,提出基于时序关联特性的错误接线漏电用户定位方法。接入用户的负荷电流与台区剩余电流存在因果关系,正常用户的影响有限,而异常用户负荷电流主导台区剩余电流变化。首先,运用Apriori算法挖掘出错误接线时台区剩余电流和故障用户负荷电流呈强关联特性;然后,进一步构造台区剩余电流与各用户负荷电流的自适应Lasso回归模型,筛选出不同故障场景下的可疑用户变量;再结合可疑用户的标准化回归系数绝对值大小,可快速识别与台区剩余电流大幅异动有强关联特性的错误接线漏电用户;最后,基于真型配电网实验室数据验证了所提方法的有效性。

Aiming at the problems of excessive residual current in the station,low operation rate of residual current device(RCD)and frequent leakage accidents caused by erroneous wiring faults of user neutral and ground wires,an erroneous wiring leakage user location method based on timing correlation characteristics is proposed.There is a causal relationship between the load current of connected users and the residual current of station.It’s noted that the influence of normal users is limited,while the load current of abnormal users dominates the change of residual current in the station.First,the Apriori algorithm is used to infer the strong correlation between the residual current in the station area and the load current of faulty when there are erroneous connections;then,the adaptive Lasso regression model is constructed to characterize the relation between residual current of the station area and the load current of each user,correspondingly the suspicious user variables in different fault scenarios can be screened out;By utilizing the additional absolute value of standardized regression coefficient of suspicious users,the erroneous wiring leakage users with strong correlation characteristics with obviously abnormal changes in the residual current in the station can be quickly identified.Finally,the effectiveness of proposed method is verified with the laboratory data of realistic distribution network.