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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

An Asynchronous Online Negotiation Mechanism for Real-Time Peer-to-Peer Electricity Markets

TL;DR: In this article , a novel asynchronous online optimization framework and related real-time P2P market negotiation mechanism is proposed, which can greatly reduce the computation and communication burden from two aspects.
Proceedings ArticleDOI

Deep Learning for Optimal Resource Allocation in IoT-enabled Additive Manufacturing

TL;DR: A deep-learning auction is designed that maximizes the utility of the AM Cloud by assigning 3D-printers to the buyers who are willing to pay the highest prices for their objects, and by assigning production orders to the manufacturers that can build the objects at the lowest cost.
Journal ArticleDOI

Iterative Auction for P2P Renewable Energy Trading with Dynamic Energy Storage Management

Chen Zhang, +2 more
- 22 Sep 2020 - 
TL;DR: In this article, a dynamic energy storage management strategy based on the local trading price is proposed and each supplier decides the amount of energy to be sold and stored in real time, and an iterative auction algorithm is presented to obtain the market equilibrium and optimal energy allocation schedule.
Journal ArticleDOI

Blockchain for Cybersecurity: Systematic Literature Review and Classification

TL;DR: In this article, the authors discuss the potential of blockchain for cyber-security applications in the context of cyber-physical networks and propose a blockchain-based approach for cyber security applications.
Journal ArticleDOI

Decentralized Quality of Service Based System for Energy Trading Among Electric Vehicles

TL;DR: In this paper , the authors proposed a decentralized QoS-based system for P2P energy trading among EV energy providers and consumers, where the system utilizes smart contracts to carry out the matching between EVs and monitor the delivery of a QoSbased PU contract without the presence of a third party.
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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