[HTML][HTML] A review of thermochemical energy storage systems for power grid support
Power systems in the future are expected to be characterized by an increasing penetration
of renewable energy sources systems. To achieve the ambitious goals of the “clean energy …
of renewable energy sources systems. To achieve the ambitious goals of the “clean energy …
[HTML][HTML] Grid-connected power converters: An overview of control strategies for renewable energy
The move towards a greener energy mix to fight climate change propels investments in
converter-interfaced resources such as wind and photovoltaics, energy storage systems and …
converter-interfaced resources such as wind and photovoltaics, energy storage systems and …
Control frameworks for transactive energy storage services in energy communities
Recently, the decreasing cost of storage technologies and the emergence of economy-
driven mechanisms for energy exchange are contributing to the spread of energy …
driven mechanisms for energy exchange are contributing to the spread of energy …
Model predictive and iterative learning control based hybrid control method for hybrid energy storage system
This paper proposes a hybrid control method based on model predictive control (MPC) and
iterative learning control (ILC) for the hybrid energy storage system (HESS) in the …
iterative learning control (ILC) for the hybrid energy storage system (HESS) in the …
Energy management system of low voltage dc microgrid using mixed-integer nonlinear programing and a global optimization technique
Integration of a group of distributed generators (DGs) and loads in the form of a microgrid
(MG) enhances the supply reliability, reduces the amount of greenhouse gasses (GHG) …
(MG) enhances the supply reliability, reduces the amount of greenhouse gasses (GHG) …
Microgrid control, storage, and communication strategies to enhance resiliency for survival of critical load
Adequately, as far as the global system is concerned with the variation in the climatic
condition, the frequency of disaster is rising, resulting in various damages to the power grid …
condition, the frequency of disaster is rising, resulting in various damages to the power grid …
[HTML][HTML] A fault diagnosis design based on deep learning approach for electric vehicle applications
Diagnosing faults in electric vehicles (EVs) is a great challenge. The purpose of this paper is
to demonstrate the detection of faults in an electromechanical conversion chain for …
to demonstrate the detection of faults in an electromechanical conversion chain for …
Model predictive control and linear control of DC–DC boost converter in low voltage DC microgrid: An experimental comparative study
It is challenging to select the best control strategy to regulate the output voltage of a DC–DC
boost converter in DC MicroGrids (MGs). Indeed, the controller must cope with the standard …
boost converter in DC MicroGrids (MGs). Indeed, the controller must cope with the standard …
Control strategy to mitigate voltage ripples in droop-controlled DC microgrids
NA Sevostyanov, RL Gorbunov - IEEE Transactions on Power …, 2023 - ieeexplore.ieee.org
The commonly applied conventional voltage-mode droop control of a dc microgrid involves
feeding the load current into the local voltage loop's reference via the virtual resistance loop …
feeding the load current into the local voltage loop's reference via the virtual resistance loop …
Data-driven switching modeling for mpc using regression trees and random forests
Abstract Model Predictive Control is a well consolidated technique to design optimal control
strategies, leveraging the capability of a mathematical model to predict a system's behavior …
strategies, leveraging the capability of a mathematical model to predict a system's behavior …