Integrating electric vehicles as virtual power plants: A comprehensive review on vehicle-to-grid (V2G) concepts, interface topologies, marketing and future prospects

M İnci, MM Savrun, Ö Çelik - Journal of Energy Storage, 2022 - Elsevier
Global factors such as energy consumption and environmental issues encourage the
utilization of electric vehicles (EVs) as alternative energy sources besides transportation …

[HTML][HTML] Data-driven energy management of virtual power plants: A review

G Ruan, D Qiu, S Sivaranjani, ASA Awad… - Advances in Applied …, 2024 - Elsevier
A virtual power plant (VPP) refers to an active aggregator of heterogeneous distributed
energy resources (DERs), which creates a promising pathway to expand renewable energy …

Robust federated deep reinforcement learning for optimal control in multiple virtual power plants with electric vehicles

B Feng, Z Liu, G Huang, C Guo - Applied Energy, 2023 - Elsevier
The deployment of virtual power plants (VPPs) with electric vehicles (EVs) is crucial for the
successful integration of renewable energy sources and efficient management of EV …

Deep learning LSTM recurrent neural network model for prediction of electric vehicle charging demand

J Shanmuganathan, AA Victoire, G Balraj, A Victoire - Sustainability, 2022 - mdpi.com
The immense growth and penetration of electric vehicles has become a major component of
smart transport systems; thereby decreasing the greenhouse gas emissions that pollute the …

[HTML][HTML] Impact of artificial intelligence on the planning and operation of distributed energy systems in smart grids

P Arévalo, F Jurado - Energies, 2024 - mdpi.com
This review paper thoroughly explores the impact of artificial intelligence on the planning
and operation of distributed energy systems in smart grids. With the rapid advancement of …

Artificial intelligence approaches for advanced battery management system in electric vehicle applications: A statistical analysis towards future research opportunities

MSH Lipu, MS Miah, T Jamal, T Rahman, S Ansari… - Vehicles, 2023 - mdpi.com
In order to reduce carbon emissions and address global environmental concerns, the
automobile industry has focused a great deal of attention on electric vehicles, or EVs …

Grid Integration for Electric Vehicles: A Realistic Strategy for Environmentally Friendly Mobility and Renewable Power

P Vishnuram, S Alagarsamy - World Electric Vehicle Journal, 2024 - mdpi.com
The promotion of electric vehicles (EVs) as sustainable energy sources for transportation is
advocated due to global considerations such as energy consumption and environmental …

A Systematic Review of Uncertainty Handling Approaches for Electric Grids Considering Electrical Vehicles

A Auza, E Asadi, B Chenari, M Gameiro da Silva - Energies, 2023 - mdpi.com
This paper systematically reviews the techniques and dynamics to study uncertainty
modelling in the electric grids considering electric vehicles with vehicle-to-grid integration …

A quantitative method to assess the vehicle-to-grid feasibility of a local public transport company

F Borghetti, M Longo, SM Miraftabzadeh… - IEEE …, 2023 - ieeexplore.ieee.org
In this paper, a quantitative model is implemented with the main goal of building a decision
support tool to assess the feasibility of applying a Vehicle-To-Grid (V2G) service by a …

Low-carbon economic dispatch optimization of a virtual power plant based on deep reinforcement learning in China's carbon market environment

G Wu, H Hua, D Niu - Journal of Renewable and Sustainable Energy, 2022 - pubs.aip.org
In the context of China's dual carbon targets, reducing carbon emissions has become even
more urgent and important. In order to reduce carbon emissions during the operation of a …