[HTML][HTML] A critical review on control mechanisms, supporting measures, and monitoring systems of microgrids considering large scale integration of renewable energy …
M Hasan, Z Mifta, NA Salsabil, SJ Papiya, M Hossain… - Energy Reports, 2023 - Elsevier
The numerous obstacles to large-scale integration of renewable energy sources (RESs) and
the mitigating steps that need to be taken to overcome them in smart grid technology …
the mitigating steps that need to be taken to overcome them in smart grid technology …
[HTML][HTML] Peer-to-peer multi-energy trading in a decentralized network: A review
Abstract Peer-to-peer (P2P) electricity trading has received a lot of attention in the last
decade and recently there has been growing interest in the evaluation of market design …
decade and recently there has been growing interest in the evaluation of market design …
A deep reinforcement learning approach for power management of battery-assisted fast-charging EV hubs participating in day-ahead and real-time electricity markets
Publicly available electric vehicle charging hubs are expected to grow, to meet the
increasing charging demand of EVs. A dominant class of these will be fast-charging hubs …
increasing charging demand of EVs. A dominant class of these will be fast-charging hubs …
An AI-Layered with Multi-Agent Systems Architecture for Prognostics Health Management of Smart Transformers: A Novel Approach for Smart Grid-Ready Energy …
After the massive integration of distributed energy resources, energy storage systems and
the charging stations of electric vehicles, it has become very difficult to implement an efficient …
the charging stations of electric vehicles, it has become very difficult to implement an efficient …
Survey on AI and machine learning techniques for microgrid energy management systems
In the era of an energy revolution, grid decentralization has emerged as a viable solution to
meet the increasing global energy demand by incorporating renewables at the distributed …
meet the increasing global energy demand by incorporating renewables at the distributed …
Reinforcement Learning-Based Bi-Level strategic bidding model of Gas-fired unit in integrated electricity and natural gas markets preventing market manipulation
Due to its efficient operation and environment-friendly characteristic, gas-fired unit (GFU)
plays a more and more important role in electric power systems and natural gas systems. To …
plays a more and more important role in electric power systems and natural gas systems. To …
Real-time optimization of large-scale hydrogen production systems using off-grid renewable energy: Scheduling strategy based on deep reinforcement learning
T Liang, L Chai, X Cao, J Tan, Y Jing, L Lv - Renewable Energy, 2024 - Elsevier
Aiming to amplify the renewable energy consumption capacity, this study delineates the
development of an off-grid Renewable Energy Large-Scale Hydrogen Production System …
development of an off-grid Renewable Energy Large-Scale Hydrogen Production System …
A survey of recent advances in the smart management of microgrids and networked microgrids
R Mannini, J Eynard, S Grieu - Energies, 2022 - mdpi.com
Microgrids (MGs) and networked (interconnected) microgrids (NMGs) are emerging as an
efficient way for integrating distributed energy resources (DERs) into power distribution …
efficient way for integrating distributed energy resources (DERs) into power distribution …
Artificial intelligence-based control and coordination of multiple PV inverters for reactive power/voltage control of power distribution networks
The integration of Renewable Energy Resources (RERs) into Power Distribution Networks
(PDN) has great significance in addressing power deficiency, economics and environmental …
(PDN) has great significance in addressing power deficiency, economics and environmental …
Operational optimization for the grid-connected residential photovoltaic-battery system using model-based reinforcement learning
The development of distributed photovoltaic and energy storage devices has created
challenges for energy management systems due to uncertainty and mismatch between local …
challenges for energy management systems due to uncertainty and mismatch between local …