To reduce the vulnerability of power grids to high impact low probability (HILP) events,
analysis methods can be applied to quantify the criticality of the nodes in the grid. The …

An immense challenge to future smart cities is providing resilience against cyber-attacks on
critical infrastructures like the smart grid. Data-driven cyber-attack strategies like the false …

China's energy transformation has been accompanied by potential energy security issues.
However, the influence degree and driving mechanism behind this phenomenon remain …

Modern power sector requires grid observability under all scenarios for its ideal functioning.
This enforces the operator to incorporate state estimation solutions based on a priori …

In the last decade, the main attacks against smart grids have occurred in communication
networks (ITs) causing the disconnection of physical equipment from power networks (OTs) …

Future smart grids represent interdependent cyber-physical systems that involve multiple
interactions between a power grid and a communication network. Such a mutual …

The recent trend in modern power sector is to maintain observability of the grid for its smooth
operation under all circumstances. To ascertain this aforementioned criterion, grid operators …

State estimation algorithms deployed in modern grids are vulnerable towards false data
injection attacks. This work demonstrates a novel attack vector (AV) formulation scheme by …

The rapid development in the modern power sector has led to the large-scale inclusion of
renewables and electric vehicles. State estimation (SE) algorithms in the control centre …

Most of existing resilience models assume that system performances are continuous. In this
paper, we consider resilience modeling and analysis for multi-state systems, whose …