暴雨洪涝灾害下智能配电网同期线损自动监测方法

Automatic monitoring method for simultaneous line loss in intelligent distribution networks under heavy rainfall and flooding

目前常规的配电网线损监测方法主要通过提取线损参数实现对线损率的预测,由于缺乏对线损误差的控制,导致线损监测效果不佳。对此,提出暴雨洪涝灾害下智能配电网同期线损自动监测方法。对输电线路拓扑关系进行分析,明确导致线损异常的成因,并对线损数据进行降维处理以及标准化处理,在此基础上构建线损样本表征体系,并通过理论线损与实际线损的误差实现对异常线损情况的判断。在实验中,对提出的方法进行了线损监测精度的检验。经实验结果表明,采用提出的方法对同期线损进行监测时,线损相对误差值较小,具备较为理想的监测效果。

The current conventional distribution network line loss monitoring methods mainly achieve the prediction of line loss rate by extracting line loss parameters,which leads to poor line loss monitoring due to the lack of control of line loss errors.In this regard,an automatic monitoring method for line loss of intelligent distribution networks under heavy rainfall and flooding disasters is proposed for the same period.The transmission line topology is analysed to clarify the causes of abnormal line losses,and the line loss data is dimensionally reduced and standardised.On this basis,a line loss sample characterisation system is constructed and the error between the theoretical and actual line losses is used to judge abnormal line losses.In the experiment,the proposed method is tested for accuracy.The experimental results show that the proposed method has a small relative error value when monitoring the line loss over the same period,and has a more satisfactory monitoring effect.