A Vehicle-to-Grid planning framework incorporating electric vehicle user equilibrium and distribution network flexibility enhancement
The rapid surge in electric vehicle (EV) adoption, coupled with advancements in charging
technologies, emphasizes the critical necessity for expanding EV recharging infrastructure …
technologies, emphasizes the critical necessity for expanding EV recharging infrastructure …
[HTML][HTML] Efficient power system year-round hourly operation simulation based on multi-stage Stochastic Dual Dynamic Integer Programming
In the context of power systems increasingly reliant on renewable energy sources, the
consideration of uncertainty becomes paramount for year-round hourly operational …
consideration of uncertainty becomes paramount for year-round hourly operational …
Unsupervised learning for efficiently distributing EVs charging loads and traffic flows in coupled power and transportation systems
With the escalating adoption of electric vehicles (EVs), the intricate interplay between power
and traffic systems becomes increasingly pronounced. Understanding the distribution of …
and traffic systems becomes increasingly pronounced. Understanding the distribution of …
Mechanism design of EVs fast charging rights for enhanced vehicle-to-grid regulation
With the advancement of policy initiatives and technological developments, vehicle-to-grid
(V2G) interactions have emerged as a critical focus within power system research. Despite …
(V2G) interactions have emerged as a critical focus within power system research. Despite …
[HTML][HTML] Learning-based flexible load aggregation for secondary frequency regulation in co-simulated transmission and distribution networks
Aggregated flexible loads offer a promising solution for secondary frequency regulation
(SFR) in power systems with increasing intermittent renewable energy sources. However …
(SFR) in power systems with increasing intermittent renewable energy sources. However …
Demand management of plug-in electric vehicle charging station considering bidirectional power flow using deep reinforcement learning
D Choudhary, RN Mahanty, N Kumar - Engineering Applications of Artificial …, 2025 - Elsevier
The recent development in plug-in electric vehicle technology has increased its popularity.
Plug-in electric vehicles are widely used for their environment-friendly nature and they …
Plug-in electric vehicles are widely used for their environment-friendly nature and they …
[HTML][HTML] Coordinated planning for offshore wind and electricity–hydrogen system based on SDDP: A case study of coastal provinces in China
The coordinated development of offshore wind and electricity–hydrogen systems (OW-EHS)
has the potential to enhance the utilization of renewable energy sources and achieve …
has the potential to enhance the utilization of renewable energy sources and achieve …
Modeling and Optimization Operation of Improved Power-to-Hydrogen-and-Heat method at Low Temperature for Reducing Carbon Emissions
The power-to-hydrogen-and-heat (P2HH) method is a potential means of improving energy
efficiency while reducing carbon emissions. However, existing P2HH methods are …
efficiency while reducing carbon emissions. However, existing P2HH methods are …
Stable Relay Learning Optimization Approach for Fast Power System Production Cost Minimization Simulation
Production cost minimization (PCM) simulation is commonly employed for assessing the
operational efficiency, economic viability, and reliability, providing valuable insights for …
operational efficiency, economic viability, and reliability, providing valuable insights for …
Analysis of Vehicle-to-Grid Loads in Coupled Transportation and Power Distribution Network Based on Microscopic Traffic Simulation
The number of electric vehicles is increasing rapidly, and the electric vehicle charging load
is exerting a greater impact on the power distribution network. A V2G-compatible program is …
is exerting a greater impact on the power distribution network. A V2G-compatible program is …