基于模糊C聚类的配电网损失估计  

Distribution network loss estimation based on fuzzy C clustering

作　　者：周俊[1] 吴继来 黄珂 ZHOU Jun;WU Ji-lai;HUANG Ke(Zhejiang Electric Power Corporation YinZhou Power Supply Company Development Department,Ningbo 315100,Zhejiang Province,China)

机构地区：[1]国网浙江省电力公司鄞州供电公司发展部,浙江宁波315100

出　　处：《信息技术》2022年第8期59-63,69,共6页Information Technology

基　　金：国家自然科学基金(61772456)。

摘　　要：随着智能电网的发展,为了更好地提高电网输电效率,需要对配电线路损耗进行评估,因此对配电变压器的负荷进行计算是非常必要的。但由于大型配电网缺乏网络数据库,所以只能采用估算的方法。为了提高估算精确度,文中提出了一种基于变压器负荷的配电网网损估计方法。该方法包含两个部分,第一部分是基于模糊C均值聚类的负荷估计方法,第二部分是基于潮流的网损估计。实验结果表明,提出的方法可以满足实际需要,能够实现对损耗的估计。With the development of smart grids,in order to better improve the power transmission efficiency of the grid,it is necessary to evaluate the loss of distribution lines and calculate the load of distribution transformers.However,due to the lack of network databases in large-scale distribution networks,only estimation methods can be used.In order to improve the accuracy of the estimation,this paper proposes a method for estimating the power loss of the distribution network based on the transformer load.This method consists of two parts,the first part is a load estimation method based on fuzzy C-means clustering,and the second one is a network loss estimation based on power flow.The experiment results show that the proposed method can meet the actual needs and realize the estimation of the loss.

关 键 词：智能电网 损耗估计 模糊C均值聚类 负荷估计 变压器 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]