Risk source identification of cyber-physical power system for resilient urban based on Logistic regression
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.
resilient city gridcyber-physical power systemrisk source identificationLogistic regression
NETL
NSTL
万方数据
