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A Decentralized Electricity Trading Framework (DETF) for Connected EVs: A Blockchain and Machine Learning for Profit Margin Optimization

机译:连接EVS的分散电力交易框架(DEDF):盈利保证金优化的区块链和机器学习

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摘要

Connected electric vehicles (CEVs) can help cities to reduce road congestion and increase road safety. With the technical improvement made to the battery system in terms of capacity and flexibility, CEVs, as mobile power plants can be an important actor for the electricity markets. Especially, they can trade electricity between each other when supply stations are full or temporarily not available. In this article, we propose an advanced decentralized electricity trading framework between CEVs in parking lots based on consortium blockchain, machine learning, and Game theoretic model. We design a distributed smart contract solution based on a stochastic bidding process, which helps CEVs to sell and buy electricity with their maximum profitability. Finally, numerical simulations with MATLAB and Solidity are conducted to prove the effectiveness of our proposed solution. Also, a comparison with another method in terms of CEVs' profitability improvement and energy trading management is provided.
机译:连接的电动车(CEV)可以帮助城市降低道路拥堵并提高道路安全性。随着电池系统的技术改进,在能力和灵活性方面,CEVS,因为移动电厂可以是电力市场的重要演员。特别是,当供应站完全或暂时无法使用时,它们可以互相贸易。在本文中,我们提出了基于联盟区块链,机器学习和游戏理论模型的停车场CEV的高级分散电力贸易框架。我们根据随机竞标过程设计分布式智能合同解决方案,帮助CEVS销售和购买其最大盈利能力。最后,对Matlab和稳定性进行了数值模拟,以证明我们提出的解决方案的有效性。此外,提供了与CEVS盈利能力改善和能源交易管理方面的另一种方法的比较。

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