An overview of the challenges of solar power integration in isolated industrial microgrids with reliability constraints

L Polleux, G Guerassimoff, JP Marmorat… - … and Sustainable Energy …, 2022 - Elsevier
Reducing carbon emissions and electricity costs in industry is a major challenge to ensure
competitiveness and compliance with new climate policies. Photovoltaic power offers a …

Voltage regulation in distribution grids: A survey

P Srivastava, R Haider, VJ Nair… - Annual Reviews in …, 2023 - Elsevier
Environmental and sustainability concerns have caused a recent surge in the penetration of
distributed energy resources into the power grid. This may lead to voltage violations in the …

Analysis and mitigation of power quality issues in distributed generation systems using custom power devices

E Hossain, MR Tür, S Padmanaban, S Ay, I Khan - Ieee Access, 2018 - ieeexplore.ieee.org
This paper discusses the power quality issues for distributed generation systems based on
renewable energy sources, such as solar and wind energy. A thorough discussion about the …

Dynamic load modeling for bulk load-using synchrophasors with wide area measurement system for smart grid real-time load monitoring and optimization

MK Hasan, MM Ahmed, NF Wani, AH Abbas… - Sustainable Energy …, 2023 - Elsevier
Bulk data modeling in a smart grid dynamic network has been performed using an
automated load modeling tool (ALMT), an on-load tap changer, and exponential dynamic …

Multi-timescale modeling and dynamic stability analysis for sustainable microgrids: State-of-the-art and perspectives

M Zhang, Y Han, Y Liu, AS Zalhaf… - … and Control of …, 2024 - ieeexplore.ieee.org
The increasing trend for integrating renewable energy sources into the grid to achieve a
cleaner energy system is one of the main reasons for the development of sustainable …

Deep learning based densely connected network for load forecasting

Z Li, Y Li, Y Liu, P Wang, R Lu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Load forecasting is of crucial importance for operations of electric power systems. In recent
years, deep learning based methods are emerging for load forecasting because their strong …

Energy management and optimization of large-scale electric vehicle charging on the grid

RO Kene, TO Olwal - World Electric Vehicle Journal, 2023 - mdpi.com
The sustainability of a clean energy transition for electric vehicle transportation is clearly
affected by increased energy consumption cost, which is associated with large-scale electric …

Optimal parameter estimation of 1-phase and 3-phase transmission line for various bundle conductor's using modified whale optimization algorithm

MS Shaikh, C Hua, S Raj, S Kumar, M Hassan… - International Journal of …, 2022 - Elsevier
The overhead power line transmits and distributes electricity across large regions it has
several conductors on poles. Power system stability analysis and state estimates need a …

Aggregated electric vehicle load modeling in large-scale electric power systems

B Wang, D Zhao, P Dehghanian… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Different electric vehicle (EV) charging algorithms result in different EV charging load
profiles, that if aggregated, influence the power grid operation. The existing EV charging …

Load modelling and non-intrusive load monitoring to integrate distributed energy resources in low and medium voltage networks

AFM Jaramillo, DM Laverty, DJ Morrow… - Renewable Energy, 2021 - Elsevier
In many countries distributed energy resources (DER)(eg photovoltaics, batteries, wind
turbines, electric vehicles, electric heat pumps, air-conditioning units and smart domestic …