Data-driven next-generation smart grid towards sustainable energy evolution: techniques and technology review

F Ahsan, NH Dana, SK Sarker, L Li… - … and Control of …, 2023 - ieeexplore.ieee.org
Meteorological changes urge engineering communities to look for sustainable and clean
energy technologies to keep the environment safe by reducing CO 2 emissions. The …

Design of experiments using artificial neural network ensemble for photovoltaic generation forecasting

MO Moreira, PP Balestrassi, AP Paiva… - … and Sustainable Energy …, 2021 - Elsevier
In recent years, renewable and sustainable energy sources have attracted the attention of
various investors and stakeholders, such as energy sector agents and even consumers. It is …

Faults in smart grid systems: Monitoring, detection and classification

AEL Rivas, T Abrao - Electric Power Systems Research, 2020 - Elsevier
Smart Grid (SG) is a multidisciplinary concept related to the power system update and
improvement. SG implies real-time information with specific communication requirements …

Real-time prediction of grid voltage and frequency using artificial neural networks: An experimental validation

N Chettibi, AM Pavan, A Mellit, AJ Forsyth… - Sustainable Energy, Grids …, 2021 - Elsevier
Abstract In grid-connected Distributed Generation (DG) systems, with high-penetrations of
renewable and energy storage assets, the prediction of grid voltage and frequency plays an …

Learning reactive power control polices in distribution networks using conditional value-at-risk and artificial neural networks

KS Ayyagari, R Gonzalez, Y **… - Journal of Modern …, 2023 - ieeexplore.ieee.org
Scalable coordination of photovoltaic (PV) inverters, considering the uncertainty in PV and
load in distribution networks (DNs), is challenging due to the lack of real-time …

Intensive data-driven model for real-time observability in low-voltage radial DSO grids

EMV Blomgren, M Banaei, R Ebrahimy, O Samuelsson… - Energies, 2023 - mdpi.com
Increasing levels of distributed generation (DG), as well as changes in electricity
consumption behavior, are resha** power distribution systems. These changes might …

On state estimation modeling of smart distribution networks: a technical review

J Xu, Y **, T Zheng, G Meng - Energies, 2023 - mdpi.com
State estimation (SE) is regarded as an essential tool for achieving the secure and efficient
operation of distribution networks, and extensive research on SE has been conducted over …

[HTML][HTML] Uncertainty quantification in LV state estimation under high shares of flexible resources

N Müller, S Chevalier, C Heinrich, K Heussen… - Electric Power Systems …, 2022 - Elsevier
The ongoing electrification introduces new challenges to distribution system operators
(DSOs). Controllable resources may simultaneously react to price signals, potentially …

New analytical method for analysing the effectiveness of infrastructure reinforcement in electric power distribution systems

TSD Ferreira, FCL Trindade, YG Pinto… - Electric Power Systems …, 2020 - Elsevier
Technical problems are emerging in electric power distribution systems caused by the
recent widespread deployment of new technologies of load, as the plug-in electric vehicles …