电测与仪表2025，Vol.62Issue(11)：68-79,12.DOI:10.19753/j.issn1001-1390.2025.11.008
基于u-shaplets特征子序列的新型低压配电网拓扑识别方法
A novel topology recognition method for low-voltage distribution network based on u-shaplets feature subsequences
摘要
Abstract
The proposal of"carbon peaking and carbon neutrality goals"target has brought revolutionary challenges to low-voltage distribution system.The novel low-voltage distribution network with clear topology and large-scale ac-cess of distributed optical storage system has been in the initial stage of construction.This paper analyzes the char-acteristics of the voltage spatial and temporal distribution of the novel low-voltage distribution network,and intro-duces a novel topology identification method for the low-voltage distribution network.The method typically extracted the most recognizable local feature sub-fragments(shaplets)of voltage curves without supervision,and formed u-shapelets distance graph as similarity measure for clustering,which could effectively improve the accuracy rate of topology recognition of conventional clustering algorithms.It avoids the problem that the identification accuracy de-creases due to the narrowing of the distance between classes when clustering due to the overall flattening of the volt-age spatio-temporal characteristics after the large-scale access of the optical storage system in the novel low-voltage distribution network.Moreover,it has high robustness to the non-fault absence of data scenarios.关键词
新型低压配电网/分布式光储/低压拓扑识别/u-shapeletsKey words
novel low-voltage distribution network/distributed optical storage/low voltage topology recognition/u-shapelets分类
动力与电气工程引用本文复制引用
王子豪,余涛,黄毅,王克英,潘振宁..基于u-shaplets特征子序列的新型低压配电网拓扑识别方法[J].电测与仪表,2025,62(11):68-79,12.基金项目
国家自然科学基金资助项目(52207105) （52207105）
中国博士后科学基金资助(2022M721184) （2022M721184）
贵州电网有限责任公司科技项目(GZKJXM20210347) （GZKJXM20210347）
