基于 6G 的智能电网网络的电动汽车能源管理

IF 3.3 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS

Journal of Sensor and Actuator Networks Pub Date : 2023-11-27 DOI:10.3390/jsan12060079

Rola Naja, Aakash Soni, Circe Carletti

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引用次数: 0

摘要

这项研究基于 6G 技术，为智能电网的能源管理优化提出了一个独特的平台。所提议的平台应用于虚拟发电厂，包括考虑到不同负载情况的算法，根据负载优先级公平调度能源，并对可再生能源的间歇性进行补偿。此外，我们还通过采用车联网技术和削峰技术，为智能车队开发了一种双向能源转换机制。性能分析表明，所提出的能源为电动汽车提供了公平性，满足了紧急负荷，并优化了智能电网能源。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Electric Vehicles Energy Management for Vehicle-to-Grid 6G-Based Smart Grid Networks

This research proposes a unique platform for energy management optimization in smart grids, based on 6G technologies. The proposed platform, applied on a virtual power plant, includes algorithms that take into account different profiles of loads and fairly schedules energy according to loads priorities and compensates for the intermittent nature of renewable energy sources. Moreover, we develop a bidirectional energy transition mechanism towards a fleet of intelligent vehicles by adopting vehicle-to-grid technology and peak clipping. Performance analysis shows that the proposed energy provides fairness to electrical vehicles, satisfies urgent loads, and optimizes smart grids energy.

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来源期刊

Journal of Sensor and Actuator Networks Physics and Astronomy-Instrumentation

CiteScore

7.90

自引率

2.90%

发文量

审稿时长

11 weeks

期刊介绍： Journal of Sensor and Actuator Networks (ISSN 2224-2708) is an international open access journal on the science and technology of sensor and actuator networks. It publishes regular research papers, reviews (including comprehensive reviews on complete sensor and actuator networks), and short communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced.