基于高斯混合模型的配电网损耗计算分析研究  

Calculation and Analysis of Distribution Network Loss Based on Gaussian Mixture Model

作　　者：陈伯建 荀超 林超群 肖芬 林可尧 吴翔宇 CHEN Bojian;XUN Chao;LIN Chaoqun;XIAO Fen;LIN Keyao;WU Xiangyu(Electric Power Research Institute of State Grid Fujian Electric Power Co.,Ltd.,Fuzhou 350000,Fujian,China;State Grid Fujian Electric Power Co.,Ltd.,Fuzhou 350001,Fujian,China)

机构地区：[1]国网福建省电力有限公司电力科学研究院,福建福州350000 [2]国网福建省电力有限公司,福建福州350001

出　　处：《电气传动》2022年第18期60-65,共6页Electric Drive

基　　金：福建省科技厅科技项目(2019KN03051)。

摘　　要：损耗率是衡量电力系统技术运行水平、经济运营程度高低的一项重要的指标。针对配电网在管理和技术降损的实际需求,在损耗统计和理论计算的基础上,提出基于高斯混合模型的短时段内损耗特性表征方法,采用期望最大化算法,进行损耗数据正常日和异常日的高斯混合模型参数的计算,并利用损耗数据的分布极值,简化迭代算法的计算过程,提高算法精度。通过所得混合分布参数的比对,识别损耗异常现象,有助于损耗异常点的定位和降损措施的制定。The loss rate is an important indicator to measure the technical operation level and economic operation level of the power system.In response to the actual needs of the distribution network in management and technical loss reduction,based on loss statistics and theoretical calculations,a short-term loss characteristic characterization method based on Gaussian mixture model was proposed.The expectation-maximization algorithm was adopted to calculate the parameters both of the normal days and abnormal days of loss data,and it utilized the distribution extremes of the loss data,the calculation process was simplified and accuracy of the iterative algorithm was improved.Through the comparison of the obtained mixed distribution parameters,the loss abnormal phenomena would be identification and location,and it is helpful to location of loss abnormal place and formulation of loss reduction measures.

关 键 词：配电网 管理降损 技术降损 高斯混合模型 期望最大化算法 

分 类 号：TM933[电气工程—电力电子与电力传动]