互联电动汽车中基于产消者的能源交易实现净零目标

Ferheen Ayaz, M. Nekovee
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引用次数: 0

摘要

保护环境和减少二氧化碳排放的动机导致电动汽车(EV)用户数量的增加。然而,电动汽车数量的增加导致电力需求增加,并加重了现有能源分配系统的负担。因此,需要分布式能源系统,消费者也可以出售他们的剩余能源,以克服未来预测的高能源需求的潜在挑战。此外,消费者现在倾向于从可再生能源购买能源,以减少对环境的破坏。因此,也需要鼓励愿意为环境可持续性做出贡献的卖家通过可再生能源小规模生产能源,并以低廉的价格提供。本文提出了一个能源交易系统,其中电动汽车和固定用户(如房屋和建筑物)都充当产消者。他们既可以出于金钱激励,也可以出于环境可持续性的利他目标而买卖能源。提出了一个支持5g的聚合器,通过区块链和智能合约来管理能源交易系统,以保持交易的安全性和不变性,并验证能源来源。通过制定Stackelberg非合作博弈和合作博弈来对产消者进行战略激励,既体现利他主义,又体现货币激励。通过复杂性分析和概率计算对系统进行了理论分析。仿真结果表明,仅卖方为电动汽车和买卖双方均为电动汽车时,能源交易成功率分别超过90%和60%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards Net-Zero Goal through Altruistic Prosumer based Energy Trading among Connected Electric Vehicles
The motivation to protect environment and reduce CO2 emissions has resulted in increase in number of electric vehicle (EV) users. However, the rising number of EVs leads to increasing electricity demands and aggravates the burden on existing energy distribution systems. Therefore, the distributed energy systems, where consumers can also sell their surplus energy are required to overcome the potential challenges of high energy demands predicted in future. Furthermore, the consumers are now inclined towards buying energy from a renewable source to reduce environmental damage. Therefore, the sellers willing to contribute towards environmental sustainability also need to be encouraged to generate energy at a small scale through renewable sources and offer them at cheap prices. This paper proposes an energy trading system where both EVs and immobile users, such as houses and buildings, act as prosumers. They can buy or sell energy for both monetary incentives as well as for altruistic aim of environmental sustainability. A 5G-enabled aggregator is proposed to manage the energy trading system through blockchain and smart contracts for maintaining security and immutability in transactions and verify energy sources. Stackelberg non-cooperative and cooperative games are formulated to strategize incentives of prosumers reflecting both altruism and monetary incentives. Complexity analysis and probabilistic calculations are performed to theoretically analyze the proposed system. Simulation results show more than 90% and 60% successful energy transactions when only seller is EV and when both buyers and sellers are EVs, respectively.
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