东北电力技术2026，Vol.47Issue(1)：34-42,9.
基于DTW联合贝叶斯压缩感知算法的配变线变关系辨识
Identification of Distribution Line Transformer Relationship Based on DTW Combined With Bayesian Compressed Sensing Algorithm
摘要
Abstract
In order to solve the problem of line transformer relationship between 10 kV feeder lines,it proposes a method for identif-ying line transformer relationship based on the dynamic time warping(DTW)joint Bayesian compressed sensing algorithm.Firstly,it analyzes the operating scenarios of inconsistent line changes in distribution lines,and establishes an identification model for the line transformer relationship between distribution and line changes-a mixed model of voltage and electricity.Secondly,it uses the DTW algorithm to identify the membership relationship between the busbar and the distribution transformer,achieving preliminary rapid screening of the line transformer relationship.Then,it uses the Bayesian compressed sensing algorithm to solve the electricity equation in the mixed model,solves and the values of the membership matrix to identify the line transformer relationship.Finally,it verifies the accuracy and universality of the algorithm identification using actual operating data.关键词
线变关系/DTW算法/贝叶斯压缩感知/电压波动/电量守恒Key words
line transformer relationship/DTW algorithm/bayesian compressed sensing/voltage fluctuations/conservation of elec-tricity分类
信息技术与安全科学引用本文复制引用
郑永烨,陈少伟..基于DTW联合贝叶斯压缩感知算法的配变线变关系辨识[J].东北电力技术,2026,47(1):34-42,9.基金项目
国网福建省电力有限公司科技项目(52135024000B) （52135024000B）
