| In recent years,with the booming development of information technology,more and more communication,computer and control(3C)technologies have been applied to the power system,making the traditional power system gradually evolve into a Cyber-Physical Power System(CPPS).The cyber-physical fusion in CPPS significantly improves the intelligence and operational effi-ciency of the system,but the large-scale application of 3C technology also brings the problem of cyber security.Malware attack is a cyber attack method that has emerged in recent years,which seriously threatens the safe and stable operation of CPPS and has the characteristics of high conceal-ment and strong destructive power.Since the blackout in Ukraine in 2015,it has gradually attracted the attention of researchers.In this field,although some pioneering works have been achieved,the research is still in its infancy,and a deeper understanding of the structural and functional complexity of CPPS during malware attacks is still needed.Considering the above background,this thesis investigates the malware attack process in CPPS and the system resilience enhancement methods against such attacks based on complex network theory.The research includes three aspects: CPPS modeling and malware attack process analysis,CPPS key component protection strategies,and CPPS resilience enhancement methods,aiming to improve the survival and recovery ability of CPPS under malware attacks.Specifically,this thesis contains the following outcomes:(1)This thesis establishes a CPPS model based on complex network theory,which compre- hensively considers the interaction between the CPPS information side Supervisory Control And Data Acquisition(SCADA)system and the physical side power system,and depicts the cyber-physical coupling relationship in CPPS from the perspective of both macro structural characteristics and actual operation process.Based on this model,the malware attack pro- cess in CPPS is further studied through actual cases,and an analysis framework is proposed to evaluate the effect of malware attack on CPPS.The proposed framework clarifies the cyber-physical mechanism of fault propagation within CPPS under malware attacks,laying a foundation for subsequent related research.(2)In order to enhance the ability of CPPS to resist malware attacks,this thesis incorporates cyber protection factors into the analysis of malware attacks,and studies how to suppress malware propagation and resist cascading failures caused by malware attacks by protecting key cyber components of CPPS.Through the method of mixed integer programming,the genetic algorithm is used in this thesis to solve the optimal component protection strategy for CPPS.The experimental results show that the relevant strategies have achieved good results.(3)In order to improve the survival and recovery ability of CPPS under malware attacks,this thesis studies the resilience enhancement method of CPPS that contains renewable energy.According to the characteristics of different stages of the system resilience process,this thesis proposes corresponding pre-attack and post-attack resilience enhancement methods for the rapid degradation stage and rapid recovery stage of the CPPS resilience process from multiple dimensions.In addition,this thesis further investigates the influence of factors such as the volatility of renewable energy and the structure of power communication network on the resilience of CPPS.The corresponding research effectively enhances the ability of CPPS to resist malware attacks. |
