Networked microgrids for grid resilience, robustness, and efficiency: A review

B Chen, J Wang, X Lu, C Chen… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Networked microgrids (NMGs) are clusters of microgrids that are physically connected and
functionally interoperable. The massive and unprecedented deployment of smart grid …

Smart grid architecture model for control, optimization and data analytics of future power networks with more renewable energy

DK Panda, S Das - Journal of Cleaner Production, 2021 - Elsevier
This paper describes a generic methodology to develop mathematical and computational
models of different components of the smart grid architecture model (SGAM). The SGAM …

A comprehensive overview of modeling approaches and optimal control strategies for cyber-physical resilience in power systems

D Zhang, C Li, HH Goh, T Ahmad, H Zhu, H Liu, T Wu - Renewable Energy, 2022 - Elsevier
Cyber–physical systems (CPSs) are confronted with major problems, such as high
proportions of renewable energy penetration and frequent extreme events, which severely …

D-PMU based applications for emerging active distribution systems: A review

Y Liu, L Wu, J Li - Electric Power Systems Research, 2020 - Elsevier
In recent years, the design of low-cost distribution phasor measurement units (D-PMU)
together with the development of relevant applications for emerging active distribution …

A review on distribution system state estimation algorithms

M Fotopoulou, S Petridis, I Karachalios… - Applied Sciences, 2022 - mdpi.com
The modern energy requirements and the orientation towards Renewable Energy Sources
(RES) integration promote the transition of distribution grids from passive, unidirectional …

A survey of power system state estimation using multiple data sources: PMUs, SCADA, AMI, and beyond

G Cheng, Y Lin, A Abur… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
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 …

Bayesian inference approach for information fusion in distribution system state estimation

JAD Massignan, JBA London… - … on Smart Grid, 2021 - ieeexplore.ieee.org
This paper presents a three-phase Distribution System State Estimator (DSSE) based on a
Bayesian inference approach to manage different sampling rates of typical sources of …

Distribution system state estimation and false data injection attack detection with a multi-output deep neural network

S Radhoush, T Vannoy, K Liyanage, BM Whitaker… - Energies, 2023 - mdpi.com
Distribution system state estimation (DSSE) has been introduced to monitor distribution
grids; however, due to the incorporation of distributed generations (DGs), traditional DSSE …

The challenges of low voltage distribution system state estimation—an application oriented review

I Táczi, B Sinkovics, I Vokony, B Hartmann - Energies, 2021 - mdpi.com
Global trends such as the growing share of renewable energy sources in the generation mix,
electrification, e-mobility, and the increasing number of prosumers reshape the electricity …

A review of low-voltage renewable microgrids: Generation forecasting and demand-side management strategies

M Aybar-Mejía, J Villanueva, D Mariano-Hernández… - Electronics, 2021 - mdpi.com
It is expected that distribution power systems will soon be able to connect a variety of
microgrids from residential, commercial, and industrial users, and thus integrate a variety of …