基于聚类算法的低压台区合理线损率预测方法

Prediction Method of Reasonable Line Loss Rate in Low-voltage Substation Based on Clustering Algorithm

为了提高低压台区线损率的预测精度,实现对电网低压台区线损率的有效控制,提出基于聚类算法的低压台区合理线损率预测方法。建立K-均值聚类函数,确定低压电网的布线模式,完成基于聚类算法的电网低压台区布局规划。联合主干路线损量、支路线损量计算数值,定义配网线损度量表达式,实现对电网低压台区合理线损率的准确预测。分析对比实验结果,证明了所提方法的低压台区线损率的预测精度较高,能够实现对电网低压台区线损率的有效控制,具有一定的应用价值。

In order to improve the prediction accuracy of line loss rate in low-voltage substation area and achieve effective control of line loss rate in low-voltage substation area of power grid,a reasonable prediction method of line loss rate in low-voltage substation area based on clustering algorithm is proposed.K-means clustering function is established to determine the routing mode of low-voltage power grid,and low-voltage substation layout planning based on clustering algorithm is completed.Combined with the calculation values of trunk line loss and branch line loss,the expression of distribution network line loss measurement is defined to accurately predict the reasonable line loss rate of low-voltage substations in the power grid.By analyzing and comparing the experimental results,it is proved that the prediction accuracy of the line loss rate of low-voltage substation area proposed in this paper is high,and it can effectively control the line loss rate of low-voltage substation area of power grid,which has certain application value.