Hierarchical operation of electric vehicle charging station in smart grid integration applications—An overview

Y Wu, Z Wang, Y Huangfu, A Ravey, D Chrenko… - International Journal of …, 2022 - Elsevier
With the fast development of electrifications of vehicles, EV charging stations are booming in
coming years. Meanwhile, the growing demand for charging power, and the stochastic …

Recent developments of energy management strategies in microgrids: An updated and comprehensive review and classification

AR Abbasi, D Baleanu - Energy Conversion and Management, 2023 - Elsevier
Energy is one of the essential foundations for the sustainable development of human
society, so its management is necessary. Energy management system (EMS) can be …

A survey of data fusion in smart city applications

BPL Lau, SH Marakkalage, Y Zhou, NU Hassan… - Information …, 2019 - Elsevier
The advancement of various research sectors such as Internet of Things (IoT), Machine
Learning, Data Mining, Big Data, and Communication Technology has shed some light in …

Energy management in microgrids with renewable energy sources: A literature review

YE García Vera, R Dufo-López, JL Bernal-Agustín - Applied Sciences, 2019 - mdpi.com
Renewable energy sources have emerged as an alternative to meet the growing demand for
energy, mitigate climate change, and contribute to sustainable development. The integration …

Energy management system for optimal cost and storage utilization of renewable hybrid energy microgrid

A Merabet, A Al-Durra, EF El-Saadany - Energy Conversion and …, 2022 - Elsevier
This paper proposes an improved energy management system to reduce the energy cost
and the storage utilization of a hybrid solar and wind energy microgrid with battery storage …

Real-time energy management of a microgrid using deep reinforcement learning

Y Ji, J Wang, J Xu, X Fang, H Zhang - Energies, 2019 - mdpi.com
Driven by the recent advances and applications of smart-grid technologies, our electric
power grid is undergoing radical modernization. Microgrid (MG) plays an important role in …

Fuzzy Q-Learning for multi-agent decentralized energy management in microgrids

P Kofinas, AI Dounis, GA Vouros - Applied energy, 2018 - Elsevier
This study proposes a cooperative multi-agent system for managing the energy of a stand-
alone microgrid. The multi-agent system learns to control the components of the microgrid so …

A novel deep reinforcement learning controller based type-II fuzzy system: Frequency regulation in microgrids

MH Khooban, M Gheisarnejad - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The high-penetration of distributed generation technologies in the form of MicroGrids (MGs),
in recent years, has increased the risk of frequency instability since their energy is supplied …

[HTML][HTML] Microgrid energy management using deep Q-network reinforcement learning

MH Alabdullah, MA Abido - Alexandria Engineering Journal, 2022 - Elsevier
This paper proposes a deep reinforcement learning-based approach to optimally manage
the different energy resources within a microgrid. The proposed methodology considers the …

Multimode operation of solar PV array, grid, battery and diesel generator set based EV charging station

A Verma, B Singh - IEEE Transactions on Industry Applications, 2020 - ieeexplore.ieee.org
This article deals with the multimode operation of a photovoltaic (PV) array, a battery, the
grid and the diesel generator (DG) set-based charging station (CS) for providing the …