基于CatBoost算法的配电网分区拓扑辨识

TM711; 含多分布式电源配电网的拓扑结构具有多样性与多变性,影响拓扑辨识的实时性和准确性.提出一种基于CatBoost算法的配电网分区拓扑辨识方法.构建结合拓扑分区的配电网拓扑辨识框架,采用区域开关状态矩阵描述拓扑结构,以进行物理上的辨识降维;提出基于CatBoost算法的特征选择与拓扑辨识方法,通过分区并行离线训练得到历史拓扑和未知拓扑的区域拓扑辨识CatBoost模型,通过在线应用得到实时的区域开关状态矩阵标签,形成配电网开关状态矩阵,实现系统拓扑辨识.配电网算例系统测试结果验证了所提方法的有效性....

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Published in电力自动化设备 Vol. 44; no. 5; pp. 95 - 102
Main Authors 彭寒梅, 吴行, 胡磊, 苏永新, 谭貌
Format Journal Article
LanguageChinese
Published 湘潭大学 自动化与电子信息学院,湖南 湘潭 411105%湘潭大学 自动化与电子信息学院,湖南 湘潭 411105 01.05.2024
湘潭大学 湖南省多能协同控制技术工程研究中心,湖南 湘潭 411105
Subjects
CatBoost algorithm
拓扑辨识
拓扑分区
topology partition
distribution network
配电网
特征选择
topology identification
CatBoost算法
feature selection
Online AccessGet full text
ISSN1006-6047
DOI10.16081/j.epae.202312020

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Abstract TM711; 含多分布式电源配电网的拓扑结构具有多样性与多变性,影响拓扑辨识的实时性和准确性.提出一种基于CatBoost算法的配电网分区拓扑辨识方法.构建结合拓扑分区的配电网拓扑辨识框架,采用区域开关状态矩阵描述拓扑结构,以进行物理上的辨识降维;提出基于CatBoost算法的特征选择与拓扑辨识方法,通过分区并行离线训练得到历史拓扑和未知拓扑的区域拓扑辨识CatBoost模型,通过在线应用得到实时的区域开关状态矩阵标签,形成配电网开关状态矩阵,实现系统拓扑辨识.配电网算例系统测试结果验证了所提方法的有效性.
AbstractList TM711; 含多分布式电源配电网的拓扑结构具有多样性与多变性,影响拓扑辨识的实时性和准确性.提出一种基于CatBoost算法的配电网分区拓扑辨识方法.构建结合拓扑分区的配电网拓扑辨识框架,采用区域开关状态矩阵描述拓扑结构,以进行物理上的辨识降维;提出基于CatBoost算法的特征选择与拓扑辨识方法,通过分区并行离线训练得到历史拓扑和未知拓扑的区域拓扑辨识CatBoost模型,通过在线应用得到实时的区域开关状态矩阵标签,形成配电网开关状态矩阵,实现系统拓扑辨识.配电网算例系统测试结果验证了所提方法的有效性.
Abstract_FL The topology structure of distribution network with multiple distributed generations has diversity and variability,which affects the real-time and accuracy of topology identification.A partition topology iden-tification method of distribution network based on CatBoost algorithm is proposed.The topology identifica-tion framework of distribution network combined with topology partition is constructed,and the region switch state matrix is used to describe the topology structure for dimensionality reduction of physical identi-fication.The feature selection and topology identification methods based on CatBoost algorithm are proposed,the regional topology identification CatBoost models of historical topology and unknown topology are obtained by partition parallel off-line training,the real-time regional switch state matrix labels are obtained by online application,and the switch state matrix of distribution network is formed to realize system topology identifi-cation.The effectiveness of the proposed method is verified by the test of distribution network examples.
Author 彭寒梅
胡磊
吴行
谭貌
苏永新
AuthorAffiliation 湘潭大学 自动化与电子信息学院,湖南 湘潭 411105%湘潭大学 自动化与电子信息学院,湖南 湘潭 411105;湘潭大学 湖南省多能协同控制技术工程研究中心,湖南 湘潭 411105
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SU Yongxin
WU Hang
TAN Mao
HU Lei
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Keywords CatBoost algorithm
拓扑辨识
拓扑分区
topology partition
distribution network
配电网
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topology identification
CatBoost算法
feature selection
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