A comprehensive review of vehicle-to-grid integration in electric vehicles: Powering the future

Energy Conversion and Management X, Год журнала: 2024, Номер unknown, С. 100864 - 100864

Опубликована: Дек. 1, 2024

Язык: Английский

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Electric School Bus (ESB) Integration into Vehicle-to-Grid (V2G)

International Journal of Multidisciplinary Research and Growth Evaluation, Год журнала: 2025, Номер 6(1), С. 422 - 430

Опубликована: Янв. 1, 2025

The U.S. school transportation system, which relies on over 500,000 diesel-powered buses, is a major contributor to greenhouse gas (GHG) emissions and air pollution. As environmental concerns rise, the push for Electric School Buses (ESBs) has gained momentum, with $3 billion in federal funding supporting transition. ESBs offer numerous benefits, including reduced emissions, better quality, improved public health, enhanced grid resilience. This paper explores potential of integrating Vehicle-to-Grid (V2G) technology, enables bidirectional energy flow between electric vehicles (EVs) grid. ESBs, their large battery capacities predictable schedules, are well-suited support stability by storing surplus renewable during periods high production releasing it peak demand. research review draws insights from Oakland Yard project Zum Services Inc., first fully V2G bus yard It highlights how apart reducing GHG improving Key findings demonstrate that can help address intermittency sources, reduce reliance fossil fuel-based peaker plants, provide backup power emergencies. also discusses economic benefits programs, such as arbitrage stabilization revenue, offset operating costs. Despite challenges, need advanced infrastructure regulatory support, this emphasizes importance continued innovation policy realize technology advancing sustainable, resilient, equitable system.

Язык: Английский

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Machine Learning Identification of Electric Vehicles from charging session data

Energy and AI, Год журнала: 2025, Номер unknown, С. 100502 - 100502

Опубликована: Март 1, 2025

Язык: Английский

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Techno-Probabilistic Flexibility Assessment of EV2G Based on Chargers’ Historical Records

Energies, Год журнала: 2025, Номер 18(8), С. 2031 - 2031

Опубликована: Апрель 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.

Язык: Английский

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Multi-objective optimization framework for electric vehicle charging and discharging scheduling in distribution networks using the red deer algorithm

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Апрель 17, 2025

Язык: Английский

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