结合高阶结构的电力网络关键节点挖掘方法
The approach of mining critical nodes for power networks based on higher-order structure
张旭 1陈丽 2周永博2
作者信息
- 1. 国网甘肃省电力公司,兰州 730030
- 2. 国网甘肃省电力公司信息通信公司,兰州 730050
- 折叠
摘要
挖掘电力网络中的关键节点对提高电力系统的鲁棒性、稳定性与可靠性具有重要意义.针对电力网络中频繁存在的高阶结构特性,文中运用高阶网络分析方法,引入模糊综合决策技术,提出了一种融合节点低阶和高阶结构信息的电力网络关键节点挖掘方法,并在三个真实电力网络数据集上进行了实验和验证,从网络结构和功能两个方面对提出方法进行了评价.结果表明,相比传统低阶方法,所提出方法能够更加准确识别电力网络中的关键节点,论证了考虑节点高阶信息的必要性,为电力网络关键节点挖掘问题提供了新的思想方法.
Abstract
Mining key nodes in power networks is of great significance to improve the robustness,stability and reliability of the power system.On the basis of the high-order structure that frequently exists in the pow-er network,this paper uses the high-order network analysis method and introduces the fuzzy comprehensive decision-making technology,and proposes a key node mining method which integrates the low-order and high-order structure information of nodes.The experiment and verification are carried out on three real pow-er network data sets,and the proposed method is evaluated from two aspects of network structure and func-tion.The results show that compared with the classical low-order methods,the proposed method can identi-fy the key nodes in power network more accurately,and demonstrate the necessity of considering the high-order information of nodes,and provide a new method for the mining of key nodes in power network.
关键词
电力网络/关键节点/高阶网络/模糊决策Key words
power network/key node/high-order network/fuzzy decision引用本文复制引用
基金项目
国家电网甘肃省电力公司科技项目(W21KJ2723264)
出版年
2024
NETL
NSTL
万方数据