Journal ArticleDOI
Enabling Localized Peer-to-Peer Electricity Trading Among Plug-in Hybrid Electric Vehicles Using Consortium Blockchains
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 PHEVsread more
Citations
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Journal ArticleDOI
Methods and Applications for Artificial Intelligence, Big Data, Internet-of-Things, and Blockchain in Smart Energy Management
TL;DR: In this article , the authors provide a holistic view of how they are related and their integrability in relation to smart energy management strategies, including artificial intelligence models forecast energy use and load profiles as well as schedule resources to ensure reliable performance and effective utilization of energy resources.
Journal ArticleDOI
Multi-time scale energy management of electric vehicle model-based prosumers by using virtual battery model
TL;DR: The simulation results show that the proposed approach employing the integrated virtual battery model to quantitatively characterize the resource flexibility of prosumers yields a good optimization performance and high computing efficiency, compared to those of the approaches modelling traditional DER flexibilities.
Proceedings ArticleDOI
Energy and Profit-Aware Proof-of-Stake Offloading in Blockchain-based VANETs
TL;DR: A Satisfiability Modulo Theories (SMT) method is defined to enable participants to decide whether to take part in the validation and whether to offload it considering the state of the infrastructure, energy efficiency, the offloading cost and the computation reward.
Posted Content
Differential Privacy in Blockchain Technology: A Futuristic Approach.
TL;DR: In this paper, the authors discuss the integration of differential privacy in each layer of blockchain and in certain blockchain based scenarios, and highlight some future challenges and application scenarios in which differential privacy can produce fruitful results.
Journal ArticleDOI
Devising a trading mechanism with a joint price adjustment for local electricity markets using blockchain. Insights for policy makers
Simona-Vasilica Oprea,Adela Bâra +1 more
TL;DR: In this article, a blockchain trading mechanism was proposed to simulate the electricity transactions for 11 modern smart houses with more than 300 appliances, 8 roof- or faced-PV systems, and smart-metered 15-min readings that form a small-size community.
References
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Book
Convex Optimization
Stephen Boyd,Lieven Vandenberghe +1 more
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.