Model predictive control considering cyber-physical system to dampen low frequency oscillation of interconnected power systems

Shi, Xingyu; Li, Yong; Tan, Yi; Xu, Zhisheng; Wen, Min

doi:10.1109/appeec.2015.7380996

Cited by 2 publications

(1 citation statement)

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“…The model facilitates identification of distributed control approaches that improve resiliency in power grid operation. An hybrid simulation model of CPP system considering time delay in predictive control model with low frequency oscillation damping controller is proposed in [29] to simulate CPP system operation. The model demonstrates good performance with improved cyber control systems.…”

Section: Introductionmentioning

confidence: 99%

Power System Security With Cyber-Physical Power System Operation

Oyewole

Jayaweera

2020

IEEE Access

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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 cyberattacks.

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Section: Introductionmentioning

confidence: 99%