首页 | 官方网站   微博 | 高级检索  
     

数据驱动的同调机组分群及主动解列技术
引用本文:张睿哲,刘洋,李力,杨银国,伍双喜,于珍,刘俊.数据驱动的同调机组分群及主动解列技术[J].陕西电力,2022,0(11):25-32.
作者姓名:张睿哲  刘洋  李力  杨银国  伍双喜  于珍  刘俊
作者单位:(1.西安交通大学电气工程学院,陕西西安 710049;2.广东电网电力调度控制中心,广东广州 510030)
摘    要:新型电力系统发生区域性故障时系统的安全稳定性问题日益突出,主动解列作为防止故障扩散的有效手段在系统稳定研究中逐渐获得关注。从同调机组分群技术和解列断面搜索技术两个方面对主动解列开展研究,结合时频分析、特征提取和图论等方法,提出基于改进聚类算法的同调机组分群技术和基于多层图分割的解列断面搜索技术,并在IEEE-39节点标准测试系统中验证了所提方法的适用性。

关 键 词:数据驱动  同调分群  主动解列断面  k-means聚类  图论

Data-driven Coherent Unit Clustering and Active Splitting Techniques
ZHANG Ruizhe,LIU Yang,LI Li,YANG Yinguo,WU Shuangxi,YU Zhen,LIU Jun.Data-driven Coherent Unit Clustering and Active Splitting Techniques[J].Shanxi Electric Power,2022,0(11):25-32.
Authors:ZHANG Ruizhe  LIU Yang  LI Li  YANG Yinguo  WU Shuangxi  YU Zhen  LIU Jun
Affiliation:(1. School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710049, China;2. Guangdong Power Grid Power Dispatching Control Center, Guangzhou 510030, China)
Abstract:The problem of security and stability of new power systems is becoming increasingly prominent when regional faults occur. As an effective means to prevent the spread of faults, active splitting has gradually gained attention in the study of system stability. The active splitting is studied from two aspects of coherent unit clustering technology and splitting section search technology. Combined with time-frequency analysis, feature extraction, graph theory and other methods, the coherent unit clustering technology based on improved clustering algorithm & splitting section search technology based on multi-layer graph segmentation are proposed, and the applicability is verified in IEEE-39 node standard test system.
Keywords:data driven  homology grouping  active splitting section  k-means clustering  graph theory
点击此处可从《陕西电力》浏览原始摘要信息
点击此处可从《陕西电力》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号