电测与仪表2025，Vol.62Issue(10)：22-30,9.DOI:10.19753/j.issn1001-1390.2025.10.003
多源数据与配电网安全运行场景关联分析方法
Multi-source data correlation analysis method for secure operation scenarios of power distribution network
摘要
Abstract
In response to the problem of data diversity and high dimensionality caused by the large-scale integration of new energy into the distribution network,traditional clustering algorithms are unable to cope.A typical scenario generation method for distribution network based on multi-source data is proposed,and an evaluation index system for long short-term safe operation of distribution network is defined.Principal component analysis is used to reduce the dimensionality of high-dimensional data in the distribution network,and a two-stage clustering model based on density-based spatial clustering of applications with noise(DBSC AN)and improved K-means is established to ob-tain a typical scenario set that preserves extreme scenarios.Based on the safety operation elements of the distribu-tion network,it defines the long short-term safety operation index system of the distribution network.An improved IEEE 33-node distribution network is simulated and compared with various clustering algorithms to verify the effec-tiveness and efficiency of the two-stage clustering algorithm.The typical scenarios obtained are applied to identify the weak points of voltage violation,which has high efficiency and accuracy.关键词
极端场景/电压越限/主成分分析/DBSCAN/K-meansKey words
extreme scenario/voltage violation/principal component analysis/DBSCAN/K-means分类
信息技术与安全科学引用本文复制引用
张玮,文国璐,罗仁军,李婷婷,雍蹬,倪张..多源数据与配电网安全运行场景关联分析方法[J].电测与仪表,2025,62(10):22-30,9.基金项目
国家自然科学基金资助项目(51777126) （51777126）
国网甘肃省电力公司管理科技项目(522713220001) （522713220001）
