Abstract
Cyber-attacks on a cyber-physical power system could lead to significant data failure, false data injection and cascading failure of physical power system components. This paper proposes an advanced approach based on a ternary Markovian model of cyber-physical components interactions to capture the subsystem layers’ interactions of the cyber-physical power system and to quantify the interdependency impacts on physical power system security. The approach models cyber-physical interactive operation based on interactions and characteristics of three subsystem layers of the system with the presence of random and unforeseen contingencies, load demand variations and then quantify the impacts with Monte Carlo simulation. The viability of the approach is investigated by simulating a set of scenarios, representing realistic physical power system operating conditions with the cyber network interactions. Findings justify the presence of cyber-attacks in a cyber-physical power system components operation could lead to severe insecurities. However, the impacts on physical power system security does not always correlate with the severity of cyber-attacks.
Highlights
Growing reliance on information and communication technology (ICT) and advanced automation systems in power systems has created cyber physical power (CPP) system paradigm
Taking into account the gap from the state of the art of the problem, this paper proposes a unified ternary Markovian model based on interactions and characteristics of three subsystem layers of the CPP system to capture dynamics of subsystem layers’ interactions in the system for the assessment of interdependency impacts on power system security under various cyber-attacks and foreseen contingencies
The probabilities of failure due to cyber-attacks on all the generators were increased in the scale 20% and simultaneously applying the failures rates of cyber-attacks at 10%, 30%, 50%, 70% and 90% on generator associated transmission lines for each failure due to cyber-attacks on the CPP system
Summary
Growing reliance on information and communication technology (ICT) and advanced automation systems in power systems has created cyber physical power (CPP) system paradigm. Reference [31] models a unified electrical cyber physical system framework considering information flows and routers These studies implement dynamic of the communication network in the CPP system modelling, the dynamic characteristics of the decision-making layer and power network are missing. Taking into account the gap from the state of the art of the problem, this paper proposes a unified ternary Markovian model based on interactions and characteristics of three subsystem layers of the CPP system to capture dynamics of subsystem layers’ interactions in the system for the assessment of interdependency impacts on power system security under various cyber-attacks and foreseen contingencies. The key contributions of this paper are as follows: Firstly, this paper establishes a single unified ternary Markovian model of CPP system operation based on three subsystem functional layers: decision-making layer, communication and coupling layer and power layer.
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