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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 …
competitiveness and compliance with new climate policies. Photovoltaic power offers a …
Voltage regulation in distribution grids: A survey
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 …
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
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 …
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
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 …
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
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 …
cleaner energy system is one of the main reasons for the development of sustainable …
Deep learning based densely connected network for load forecasting
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 …
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 …
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
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 …
several conductors on poles. Power system stability analysis and state estimates need a …
Aggregated electric vehicle load modeling in large-scale electric power systems
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 …
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
In many countries distributed energy resources (DER)(eg photovoltaics, batteries, wind
turbines, electric vehicles, electric heat pumps, air-conditioning units and smart domestic …
turbines, electric vehicles, electric heat pumps, air-conditioning units and smart domestic …