[HTML][HTML] Demand side management of electric vehicles in smart grids: A survey on strategies, challenges, modeling, and optimization

S Mohanty, S Panda, SM Parida, PK Rout, BK Sahu… - Energy Reports, 2022 - Elsevier
The shift of transportation technology from internal combustion engine (ICE) based vehicles
to electric vehicles (EVs) in recent times due to their lower emissions, fuel costs, and greater …

Electric vehicle into the grid: Charging methodologies aimed at providing ancillary services considering battery degradation

G Saldaña, JI San Martin, I Zamora, FJ Asensio… - Energies, 2019 - mdpi.com
The necessity of transport electrification is already undeniable due to, among other facts,
global Greenhouse Gas (GHG) emissions and fossil-fuel dependency. In this context …

Demand response for home energy management using reinforcement learning and artificial neural network

R Lu, SH Hong, M Yu - IEEE Transactions on Smart Grid, 2019 - ieeexplore.ieee.org
Ever-changing variables in the electricity market require energy management systems
(EMSs) to make optimal real-time decisions adaptively. Demand response (DR) is the latest …

Secure and efficient vehicle-to-grid energy trading in cyber physical systems: Integration of blockchain and edge computing

Z Zhou, B Wang, M Dong, K Ota - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Smart grid has emerged as a successful application of cyber-physical systems in the energy
sector. Among numerous key technologies of the smart grid, vehicle-to-grid (V2G) provides a …

CDDPG: A deep-reinforcement-learning-based approach for electric vehicle charging control

F Zhang, Q Yang, D An - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
Electric vehicle (EV) has become one of the most critical components in the smart grid with
the applications of the Internet-of-Things (IoT) technologies. Real-time charging control is …

Hydrogen storage optimal scheduling for fuel supply and capacity-based demand response program under dynamic hydrogen pricing

NA El-Taweel, H Khani… - IEEE transactions on smart …, 2018 - ieeexplore.ieee.org
As the emerging technology offers more economic and efficient mechanisms for hydrogen
production, fuel cell electric vehicles (FCEVs) are expected to be deployed more extensively …

A critical review on the impacts of energy storage systems and demand-side management strategies in the economic operation of renewable-based distribution …

MZ Oskouei, AA Şeker, S Tunçel, E Demirbaş, T Gözel… - Sustainability, 2022 - mdpi.com
Energy storage systems (ESSs) and demand-side management (DSM) strategies have
significant potential in providing flexibility for renewable-based distribution networks …

Optimal strategies in home energy management system integrating solar power, energy storage, and vehicle-to-grid for grid support and energy efficiency

A Sangswang, M Konghirun - IEEE Transactions on Industry …, 2020 - ieeexplore.ieee.org
This article presents optimal strategies in the home energy management system (HEMS)
integrating solar power, energy storage, and vehicle-to-grid (V2G) capability for …

Reward shaping-based actor–critic deep reinforcement learning for residential energy management

R Lu, Z Jiang, H Wu, Y Ding, D Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Residential energy consumption continues to climb steadily, requiring intelligent energy
management strategies to reduce power system pressures and residential electricity bills …

A consortium blockchain-based energy trading for demand response management in vehicle-to-grid

S Aggarwal, N Kumar - IEEE Transactions on Vehicular …, 2021 - ieeexplore.ieee.org
In this paper, we propose a Peer-to-Peer (P2P) energy trading scheme between EVs and
the SPs to manage the demand response in V2G environment. Unlike the traditional …