
Energies, Journal Year: 2025, Volume and Issue: 18(8), P. 2031 - 2031
Published: April 16, 2025
As the proportion of renewable energy is rapidly increasing under commitment to carbon neutrality, technical research and demonstrations regarding electric vehicle-to-grid (EV2G) charging are in progress. Meanwhile, commercialization EV2G power system should be preceded by a quantitative assessment flexibility based on practical data analysis. In this paper, we propose framework evaluate using accumulated historical records chargers. The consists charger profile generation model that derives probabilistic state each segmented group virtual through optimal operation EV2G. experiment was conducted islanded grid data. experimental results validated economic environmental contribution effects flexibility. proposed can contribute stakeholders’ decision-making utilization as flexible resource reliable analysis results.
Language: Английский