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 …
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 …
turbines, electric vehicles, electric heat pumps, air-conditioning units and smart domestic …
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 …
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 …
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 …
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 …
Multi-objective optimal siting and sizing of distributed generators and shunt capacitors considering the effect of voltage-dependent nonlinear load models
Load modeling is essential to distribution system analysis, planning, and control. Therefore,
in this work, effect of non-linear load models has been considered for the optimal site and …
in this work, effect of non-linear load models has been considered for the optimal site and …
A novel equivalent model of active distribution networks based on LSTM
Dynamic behaviors of distribution networks are of great importance for the power system
analysis. Nowadays, due to the integration of the renewable energy generation, energy …
analysis. Nowadays, due to the integration of the renewable energy generation, energy …
Deep learning-based time-varying parameter identification for system-wide load modeling
The integration of uncertain power resources is causing more challenges for traditional load
modeling research. Parameter identification of load modeling is impacted by a variety of …
modeling research. Parameter identification of load modeling is impacted by a variety of …
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 …