基于Logistic回归的韧性城市电网信息物理融合系统风险源辨识
Risk source identification of cyber-physical power system for resilient urban based on Logistic regression
何馥彤 1李存斌1
作者信息
- 1. 华北电力大学 经济与管理学院,北京 102206
- 折叠
摘要
针对韧性城市电网信息物理融合系统风险源的系统性量化问题,提出基于Logistic回归的风险源辨识模型.通过分析韧性城市电网信息物理融合系统风险产生位置,从物理层、信息层、耦合层和外部环境4 个方面选取潜在风险源.根据风险源和风险事件的映射关系,借助Logistic回归分析对风险源进行筛选,构建韧性城市电网信息物理融合系统风险源体系,得出对风险事件有显著影响的主要风险源.
Abstract
To address the systematic quantification of the risk sources of the cyber-physical power system of the resilient city,a risk source identification model based on Logistic regression was proposed.By analyzing the risk generation location of the cyber-physical power system of the resilient city,the potential risk sources were selected from four aspects:physical layer,information layer,coupling layer and external environment.According to the mapping relationship between risk sources and risk events,the risk sources were screened with the support of Logistic regression analysis to construct the risk source system of the cyber-physical power system of resilient city,and analyze the main risk sources that have a significant impact on the risk events.
关键词
韧性城市电网/信息物理融合系统/风险源辨识/Logistic回归Key words
resilient city grid/cyber-physical power system/risk source identification/Logistic regression引用本文复制引用
基金项目
国网上海市电力公司科技项目(52094023000N)
出版年
2024
NETL
NSTL
万方数据