In this overview article, we review the literature on design and analysis of recursive
algorithms for reconstructing a time sequence of sparse signals from compressive …

Deregulation of energy markets, penetration of renewables, advanced metering capabilities,
and the urge for situational awareness, all call for system-wide power system state …

Although the North American power grid has been recognized as the most important
engineering achievement of the 20th century, the modern power grid faces major challenges …

Nonconvex constraints are valuable regularizers in many optimization problems. In
particular, sparsity constraints have had a significant impact on sampling theory, where they …

Global positioning system (GPS) spoofing attack (GSA) has been shown to be one of the
most imminent threats to almost all cyber-physical systems incorporated with the civilian …

The development of active distribution grids brings with it a demand for a higher accuracy of
state estimation. Micro-phasor measurement units (μPMUs) deployed in distribution grids …

The well-known largest normalized residual (LNR) test for bad data identification becomes
computationally inefficient for large-scale power systems containing a large volume of bad …

Due to the global warming and energy crisis, the renewable distributed energy resources,
such as wind turbines, are integrated into the grid. We model an AC microgrid with energy …

This paper proposes a fully distributed robust bilinear state-estimation (D-RBSE) method
that is applicable to multi-area power systems with nonlinear measurements. We extend the …

The power distribution grid is typically unobservable due to a lack of measurements. While
deploying more sensors can alleviate this issue, it also presents new challenges related to …