摘要
配电网线损异常识别方法对于10 kV配电网的线损异常识别准确度不高,为此在孤立森林算法的基础上设计10 kV配电网线损异常智能识别方法。在计算10 kV配电网线损特征参数的基础上使用孤立森林算法,建立10 kV配电网线损异常识别模型,并对孤立森林加权,优化线损异常的识别模型,实现10 kV配电网线损异常的智能识别。实验结果表明,设计方法在对10 kV配电网进行线损异常的智能识别操作过程中具有极小的计算误差,识别准确度极高。
The identification method of line loss anomaly in distribution network has low accuracy for the identification of line loss anomaly in 10 kV distribution network.Therefore,based on the isolated forest algorithm,an intelligent identification method of line loss anomaly in 10 kV distribution network is designed.Based on the calculation of the characteristic parameters of line loss in 10 kV distribution network,the isolated forest algorithm is used to establish the identification model of line loss anomaly in 10 kV distribution network,and the isolated forest is weighted to optimize the identification model of line loss anomaly,so as to realize the intelligent identification of line loss anomaly in 10 kV distribution network.The experimental results show that the design method has very small calculation error and high recognition accuracy in the process of intelligent identification of abnormal line loss in 10 kV distribution network.
作者
叶劲龙
YE Jinlong(Power Supply Bureau of Dongguan City,Dongguan 523000,China)
出处
《通信电源技术》
2022年第8期7-9,共3页
Telecom Power Technology
关键词
孤立森林算法
10kV配电网
线损异常
识别方法
智能识别
isolated forest algorithm
10kV distribution network
abnormal line loss
identification method
intelligent identification
