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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 PHEVs

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Citations
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Journal ArticleDOI

Blockchain and the future of energy

TL;DR: A holistic picture of the blockchain applicability in the energy sector is presented and thematises this very powerful and versatile technology against the background of two emerging economies: South Africa and Russia.
Posted Content

Grid Influenced Peer-to-Peer Energy Trading

TL;DR: It is shown that the game has a unique and stable Stackelberg equilibrium, as a result of the stability of prosumers’ coalitions, and an algorithm is proposed that enables the centralized power system and the prosumers to reach the equilibrium solution.
Journal ArticleDOI

Learning-Based Energy-Efficient Data Collection by Unmanned Vehicles in Smart Cities

TL;DR: This paper proposes to leverage emerging deep reinforcement learning (DRL) techniques for enabling model-free unmanned vehicles control, and presents a novel and highly effective control framework, called “DRL-RVC,” which utilizes the powerful convolutional neural network for feature extraction of the necessary information and makes decisions under the guidance of the deep Q network.
Journal ArticleDOI

Delegated Proof of Stake With Downgrade: A Secure and Efficient Blockchain Consensus Algorithm With Downgrade Mechanism

TL;DR: The computing power competition of PoW into DPoS is introduced to design an improved consensus algorithm named Delegated Proof of Stake with Downgrade (DDPoS) to achieve higher efficiency, fairness, and decentralization in consensus process.
Journal ArticleDOI

Co-simulation of electricity distribution networks and peer to peer energy trading platforms

TL;DR: This paper presents a methodology for the co-simulation of power distribution networks and local peer-to-peer energy trading platforms, which employs a blockchain-based distributed double auction trade mechanism and suggests that a moderate level of peer- to-peer trading does not have significant impacts on network operational performance.
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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