Fusion of microgrid control with model-free reinforcement learning: Review and vision
Challenges and opportunities coexist in microgrids as a result of emerging large-scale
distributed energy resources (DERs) and advanced control techniques. In this paper, a …
distributed energy resources (DERs) and advanced control techniques. In this paper, a …
Hierarchical control for microgrids: a survey on classical and machine learning-based methods
Microgrids create conditions for efficient use of integrated energy systems containing
renewable energy sources. One of the major challenges in the control and operation of …
renewable energy sources. One of the major challenges in the control and operation of …
A novel state-of-charge-based droop control for battery energy storage systems to support coordinated operation of DC microgrids
A modern dc microgrid often comprises renewable energy sources (RESs), such as
photovoltaic (PV) generation units, battery energy storage systems (BESSs), and local load …
photovoltaic (PV) generation units, battery energy storage systems (BESSs), and local load …
Digital transformation of microgrids: a review of design, operation, optimization, and cybersecurity
This paper provides a comprehensive review of the future digitalization of microgrids to meet
the increasing energy demand. It begins with an overview of the background of microgrids …
the increasing energy demand. It begins with an overview of the background of microgrids …
Nonlinear load harmonic mitigation strategies in microgrids: State of the art
A generational shift has led to the evolution of distributed generation (DG) and microgrids.
The loads connected in a microgrid can be both linear and nonlinear. Nonlinear loads …
The loads connected in a microgrid can be both linear and nonlinear. Nonlinear loads …
A review on robust and adaptive control schemes for microgrid
Several challenges are encountered while integrating microgrids (MGs) with an existing
utility grid. These are low inertia, intermittent nature of renewable energy resources (RESs) …
utility grid. These are low inertia, intermittent nature of renewable energy resources (RESs) …
A coordinated virtual impedance control scheme for three phase four leg inverters of electric vehicle to grid (V2G)
The three-phase four-leg (3p4L) inverter can be utilized to interface electric vehicles (EVs)
with the distribution networks. Vehicle to grid (V2G) inverters are employed to charge EVs …
with the distribution networks. Vehicle to grid (V2G) inverters are employed to charge EVs …
[HTML][HTML] A Systematic Literature Review on AC Microgrids
The objective of this work is to analyze and compare AC microgrid (ACMG) solutions to
introduce the topic to new researchers. The methodology used to achieve this goal is a …
introduce the topic to new researchers. The methodology used to achieve this goal is a …
Analysis of factors affecting electric power quality: PLS-SEM and deep learning neural network analysis
The world today is increasingly dependent directly or indirectly on the power system.
Ensuring the quality of power supplied to electrical equipment is essential. The national …
Ensuring the quality of power supplied to electrical equipment is essential. The national …
Bibliometric analysis of microgrid control strategy from 2007 to 2022 based on CiteSpace
Y Geng, Q **ang, N Zhang, J Gao… - … Power Components and …, 2024 - Taylor & Francis
Efficient and reliable control strategy is the key to the stable operation of microgrids. Most
studies on microgrid control strategy are from single perspectives, lacking integrated views …
studies on microgrid control strategy are from single perspectives, lacking integrated views …