The failure of a power system as a critical infrastructure causes considerable damage to
society. Hence, the vulnerabilities of such facilities should be minimized to cope with several …

This paper reviews the most relevant works that have investigated robustness in power grids
using Complex Networks (CN) concepts. In this broad field there are two different …

This study shows how road traffic networks events, in particular road accidents on
blackspots, can be modelled with simple probabilistic distributions. We considered the …

The SE (state estimation) is an essential part of future smart grid for estimating its running
state based on meter measurements. While it has been presented that the attacker can …

Closed-form expressions for basic risk measures, such as value-at-risk and tail value-at-risk,
are given for a family of statistical distributions that are specially suitable for right-skewed …

This paper proposes an optimization model, using Mixed-Integer Linear Programming
(MILP), to support decisions related to making investments in the design of power grids …

The power law distribution is usually used to fit data in the upper tail of the distribution.
However, commonly it is not valid to model data in all the range. In this paper, we present a …

The vision of a smart grid is to provide a modern, resilient and secure electric power grid in a
highly reliable, stable and efficient environment through effective use of its information and …

Based on complete samples, the point and confidence interval estimation for the parameters
of the two-parameter Lomax distribution are studied by using inverse moment method. The …

The purpose of this thesis is to identify the vulnerabilities of the power system to ensure its
robustness and resilience. Like any other critical infrastructure (CI), power systems are …