State estimation (SE) is indispensable for the situational awareness of power systems.
Conventional SE is fed by measurements collected from the supervisory control and data …

Smart grids (SGs), which can be classified into a class of networked distributed control
systems, are designed to deliver electricity from various plants through a communication …

With the advent of visions on smart grid (SG) technology, the researches in this field are
growing at a steady pace. Small, controlled, and clustered units in the distribution network …

This article provides a survey on state estimation (SE) in electric power grids and examines
the impact on SE of the technological changes being proposed as a part of the smart grid …

The problem of state estimation for unobservable distribution systems is considered. A deep
learning approach to Bayesian state estimation is proposed for real-time applications. The …

Emerging distribution systems are experiencing large proliferation of smart meters.
However, many groups have expressed reluctance in implementing the idea of smart …

The future smart grid is expected to be an interconnected network of small-scale and self-
contained microgrids, in addition to a large-scale electric power backbone. By utilizing …

With the transition toward 5G, mobile cellular networks are evolving into a powerful platform
for ubiquitous large-scale information acquisition, communication, storage, and processing …

We propose a fully distributed Gauss-Newton algorithm for state estimation of electric power
systems. At each Gauss-Newton iteration, matrix-splitting techniques are utilized to carry out …

This paper presents an estimator-based voltage-predictive control strategy for ac islanded
microgrids, which is able to perform voltage control without any communication facilities. The …