基于馈线自动化的新型配电线路故障特征量自识别方法研究

Feeder Automation-based Self Identification of Fault Specific Variables for New-type Distribution Lines

为了减少馈线自动化环境下新型配电线路单相断线故障引发的过电压、人员伤害、设备损坏等风险事故,提出一种基于负序电压电流相关系数的单相断线故障特征识别方法。通过研究馈线自动化背景下的配电网单相断线负序等效网络中负序电压与电流的相位关系,采集故障特征点上游线路的负序电压和电流的相关系数。结果表明,在单相断线故障发生时,故障特征点上游的线路负序电压与电流的相关系数为负,而正常运行线路与故障线路分支的负序电压与电流的相关系数则为正。通过对这一特征量的采集和分析,能够有效识别基于馈线自动化的配电线路单相断线故障,并精确定位故障区域。

In order to reduce the risk of overvoltage,personnel injury,equipment damage,and other accidents caused by single-phase disconnection faults in new-type distribution lines in feeder automation environments,this paper proposes a single-phase disconnection fault specific variables identification method based on the negative sequence voltage current correlation coefficient.By studying the phase relationship between negative sequential voltage and current in the single-phase broken line negative sequential equivalent network of the distribution network under the background of feeder automation,the correlation coefficients of negative sequential voltage and current in the upstream line of the fault characteristic point are collected.The results show that when a single-phase disconnection fault occurs,the correlation coefficient between the negative sequential voltage and current of the upstream line of the fault characteristic point is negative,while the correlation coefficient between the negative sequential voltage and current of the normal operating line and the fault line branch is positive.Therefore,the collection and analysis of this specific variable can effectively identify single-phase break faults in distribution lines based on feeder automation,and accurately locate the faulty area.