Optimization algorithms play a significant role in the optimal solution of various problems in
Smart Grid. Distributed algorithms are of considerable research interest as these algorithms …

Distribution System State Estimation (DSSE) infers the states (eg, voltage phasors) using
measurements from the electric distribution grid. As the distribution network becomes more …

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 …

Power system state estimation is being faced with different types of anomalies. These might
include bad data caused by gross measurement errors or communication system failures …

Distributed model predictive control (DMPC) has become a focus in the energy management
of shipboard power systems due to its capabilities for privacy preservation, robustness, and …

In power systems, state estimation (SE) is a widely investigated method to collate field
measurements and power flow (PF) equations to derive the most-likely state of the observed …

Sustainable cyber–physical power systems (CPPSs) significantly reduce carbon emissions
due to climate change. However, when the data exchange in CPPSs suffers from hybrid …

This article is concerned with the outlier-resistant state estimation problem for industrial pipe
networks (PNs). PN signals, eg, pressure and temperature, are modeled as low-pass time …

The integrity of data is an essential basis for analyzing power system operating status based
on data. Improper handling of measurement sampling, information transmission, and data …

Robustness is an important performance index of power system state estimation, which is
defined as the estimator's capability to resist the interference. However, improving the …