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Journal ArticleDOI

Enabling Localized Peer-to-Peer Electricity Trading Among Plug-in Hybrid Electric Vehicles Using Consortium Blockchains

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TLDR
Numerical results indicate that the double auction mechanism can achieve social welfare maximization while protecting privacy of the PHEVs and security analysis shows that the proposed PETCON improves transaction security and privacy protection.
Abstract
We propose a localized peer-to-peer (P2P) electricity trading model for locally buying and selling electricity among plug-in hybrid electric vehicles (PHEVs) in smart grids Unlike traditional schemes, which transport electricity over long distances and through complex electricity transportation meshes, our proposed model achieves demand response by providing incentives to discharging PHEVs to balance local electricity demand out of their own self-interests However, since transaction security and privacy protection issues present serious challenges, we explore a promising consortium blockchain technology to improve transaction security without reliance on a trusted third party A localized P 2P E lectricity T rading system with CO nsortium blockchai N (PETCON) method is proposed to illustrate detailed operations of localized P2P electricity trading Moreover, the electricity pricing and the amount of traded electricity among PHEVs are solved by an iterative double auction mechanism to maximize social welfare in this electricity trading Security analysis shows that our proposed PETCON improves transaction security and privacy protection Numerical results based on a real map of Texas indicate that the double auction mechanism can achieve social welfare maximization while protecting privacy of the PHEVs

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Citations
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Journal ArticleDOI

A Blockchain-Enabled Trustless Crowd-Intelligence Ecosystem on Mobile Edge Computing

TL;DR: The existence of the only one strong Nash equilibrium is proved, which can maximize the interests of involved ES and make the ecosystem bigger and theoretical analysis and experiments validate the proposed method.
Journal ArticleDOI

Peer-to-peer (P2P) electricity trading in distribution systems of the future

TL;DR: In this article, two types of peer-to-peer (P2P) electricity trading mechanisms, namely auction-based and bilateral contract-based P2P electricity trading, are discussed.
Journal ArticleDOI

Electricity trading pricing among prosumers with game theory-based model in energy blockchain environment

TL;DR: In this paper, a game theory-based pricing model is proposed in a localized Practical Byzantine Fault Tolerance based-Consortium Blockchain (PBFT-CB), where both the interactions between seller and buyer and the interactions among sellers are considered.
Journal ArticleDOI

Reinforcement Learning-Based Load Forecasting of Electric Vehicle Charging Station Using Q -Learning Technique

TL;DR: Results prove that PHEV loads can accurately be forecasted by using the Q-learning technique under three different scenarios (smart, uncoordinated, and coordinated), and prove the effectiveness and advantages of the proposed Q- learning technique.
Journal ArticleDOI

A Secure and Efficient Blockchain-Based Data Trading Approach for Internet of Vehicles

TL;DR: In this paper, a secure and efficient blockchain-based data trading approach for the Internet of Vehicles (IoV) is proposed, and the hidden information of individuals can be extracted gradually so that the privacy of participants in data trading can be protected well.
References
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Book

Convex Optimization

TL;DR: In this article, the focus is on recognizing convex optimization problems and then finding the most appropriate technique for solving them, and a comprehensive introduction to the subject is given. But the focus of this book is not on the optimization problem itself, but on the problem of finding the appropriate technique to solve it.
Journal ArticleDOI

Rate control for communication networks: shadow prices, proportional fairness and stability

TL;DR: This paper analyses the stability and fairness of two classes of rate control algorithm for communication networks, which provide natural generalisations to large-scale networks of simple additive increase/multiplicative decrease schemes, and are shown to be stable about a system optimum characterised by a proportional fairness criterion.
Proceedings ArticleDOI

A Secure Sharding Protocol For Open Blockchains

TL;DR: ELASTICO is the first candidate for a secure sharding protocol with presence of byzantine adversaries, and scalability experiments on Amazon EC2 with up to $1, 600$ nodes confirm ELASTICO's theoretical scaling properties.
Journal ArticleDOI

Security and Privacy in Decentralized Energy Trading Through Multi-Signatures, Blockchain and Anonymous Messaging Streams

TL;DR: This paper has implemented a proof-of-concept for decentralized energy trading system using blockchain technology, multi-signatures, and anonymous encrypted messaging streams, enabling peers to anonymously negotiate energy prices and securely perform trading transactions.
Journal ArticleDOI

Cognitive machine-to-machine communications: visions and potentials for the smart grid

TL;DR: A CM2M communications architecture for the smart grid is presented, for which an energy-efficiency driven spectrum discovery scheme is presented and significant energy saving and the reliability in supporting data transmissions in thesmart grid are demonstrated.
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