Power systems are operated in a deterministic way. However, the increase in uncertainties
(caused by measurement and communication errors or the absence of complete knowledge …

It is well known that the convergence of Gaussian belief propagation (BP) is not guaranteed
in loopy graphs. The classical convergence conditions, including diagonal dominance, walk …

The increasing complexity of the power grid, due to higher penetration of distributed
resources and growing availability of interconnected, distributed metering devices requires …

In this paper, we propose a solution to an AC state estimation problem in electric power
systems using a fully distributed Gauss-Newton method. The proposed method is placed …

In modern power system, there are two sets of measurement systems, SCADA system and
WAMS system. Both of them have their own advantages, SCADA system has accumulated a …

As the electricity demand continues to grow and renewable energy resources are
incorporated into the grid, an effective dynamic state estimation is required for monitoring …

Belief propagation is an algorithm that is known from statistical physics and computer
science. It provides an efficient way of calculating marginals that involve large sums of …

Growth in power systems has led to an increase in operational complexity, highlighting the
importance of maintaining them in optimal conditions. State estimation in electric power …

The growing complexity of the power grid, driven by increasing share of distributed energy
resources and by massive deployment of intelligent internet-connected devices, requires …

We present a detailed study on application of factor graphs and the belief propagation (BP)
algorithm to the power system state estimation (SE) problem. We start from the BP solution …