Results 31 to 40 of about 1,731 (188)
With the large-scale development of electric vehicles (EVs), vehicle-to-grid (V2G) technology has shown increasing potential in grid peak-valley regulation through collaborative optimization. However, existing research still faces limitations in charging
HU Mengkai +3 more
doaj +1 more source
V2G Scaling for Electric Trucks From a Cyber‐Physical‐Social Perspective: Challenges and Pathways
ABSTRACT Under the dual carbon strategy, electric trucks, as a key element in emission reduction within the transportation sector, can achieve a mutually beneficial situation for both the power system and the transportation system through vehicle‐to‐grid (V2G).
Jun Li +4 more
wiley +1 more source
Smart charging with hourly pricing optimizes electric vehicle (EV) charging in developing countries, reducing EV owner costs by 30% and easing grid congestion. Using an agent‐based energy management system, the study shows dynamic pricing effectively shifts charging to off‐peak hours, enhancing grid stability and supporting sustainable EV adoption in ...
Maha Iftikhar +8 more
wiley +1 more source
The Parker Project: Cross-Brand Service Testing Using V2G
The Parker project sought to experimentally validate that contemporary series-produced electric vehicles (EVs), capable of V2G, are ready to participate in a number of advanced grid services.
Peter Bach Andersen +5 more
doaj +1 more source
Hydrogen to Power: Exploring Current Developments and Future Challenges
As the interest in low‐carbon energy systems grows, hydrogen continues to attract attention as a flexible energy carrier for power applications. Developments in hydrogen production, storage, transport, and utilization are explored. In addition, the deployment challenges of hydrogen energy vector related to economics, infrastructure, safety, and ...
Md. Shafiullah +6 more
wiley +1 more source
Typical configuration of Huangshan Scenic Area. ABSTRACT To cope with the supply and demand imbalance challenge caused by the surge in energy demand in tourism‐intensive areas and the high volatility of renewable energy, this paper aims to construct a collaborative scheduling optimization model based on graph neural networks (GNNs). The model abstracts
Lixia Wang
wiley +1 more source
Key Parameters for Economic Valuation of V2G Applied to Ancillary Service: Data-Driven Approach
Global automakers are speeding up both the suspension of production of internal combustion engine vehicles and the transition to electric vehicles (EVs) in order to respond to global goals to become carbon-free and energy-efficient.
Junhyung Kim, Jinho Kim, Hwanmin Jeong
doaj +1 more source
An adaptive fuzzy controller using an interval type‐3 fuzzy logic system replaces the SMC switching term to mitigate chattering while preserving global stability for islanded inverters. Simulations show lower THD, greater robustness to disturbances and parameter variations, and improved voltage‐tracking accuracy, with applicability to other uncertain ...
Man‐Wen Tian +7 more
wiley +1 more source
Optimization of Bi-Directional V2G Behavior With Active Battery Anti-Aging Scheduling
The bi-directional linkage between the power grid and electric vehicles (EVs) enables flexible, cheap and fast-responding use of vehicle batteries in the grid. However, the battery aging effects due to the additional operation cycles caused by Vehicle-to-
Shuangqi Li +3 more
doaj +1 more source
Framework for the Introduction of Vehicle-to-Grid Technology into the Polish Electricity Market
Vehicle-to-grid (V2G) technology is one of the advanced solutions that uses electric vehicles (EV) to balance electricity demand in the power system. It can be particularly useful in analyzing and then mitigating the risk of not delivering electricity to
Krzysztof Zagrajek +4 more
doaj +1 more source

