A Blockchain-Based Framework for Lightweight Data Sharing and Energy Trading in V2G Network

The Vehicle-to-Grid (V2G) network is, where the battery-powered vehicles provide energy to the power grid, is highly emerging. A robust, scalable, and cost-optimal mechanism that can support the increasing number of transactions in a V2G network is required. Existing studies use traditional blockchain as to achieve this requirement. Blockchain-enabled V2G networks require a high computation power and are not suitable for micro-transactions due to the mining reward being higher than the transaction value itself. Moreover, the transaction throughput in the generic blockchain is too low to support the increasing number of frequent transactions in V2G networks. To address these challenges, in this paper, a lightweight blockchain-based protocol called Directed Acyclic Graph-based V2G network (DV2G) is proposed. Here blockchain refers to any Distributed Ledger Technology (DLT) and not just the bitcoin chain of blocks. A tangle data structure is used to record the transactions in the network in a secure and scalable manner. A game theory model is used to perform negotiation between the grid and vehicles at an optimized cost. The proposed model does not require the heavy computation associated to the addition of the transactions to the data structure and does not require any fees to post the transaction. The proposed model is shown to be highly scalable and supports the micro-transactions required in V2G networks.

[1]  H. Farhangi,et al.  The path of the smart grid , 2010, IEEE Power and Energy Magazine.

[2]  Willett Kempton,et al.  Vehicle-to-grid power fundamentals: Calculating capacity and net revenue , 2005 .

[3]  Vincent W. S. Wong,et al.  Autonomous Demand-Side Management Based on Game-Theoretic Energy Consumption Scheduling for the Future Smart Grid , 2010, IEEE Transactions on Smart Grid.

[4]  Mahdi KIAEE,et al.  Estimation of cost savings from participation of electric vehicles in vehicle to grid (V2G) schemes , 2015 .

[5]  Mohammad S. Obaidat,et al.  Edge Computing-Based Security Framework for Big Data Analytics in VANETs , 2019, IEEE Network.

[6]  Hongwei Li,et al.  Blockchain-Assisted Public-Key Encryption with Keyword Search Against Keyword Guessing Attacks for Cloud Storage , 2019, IEEE Transactions on Cloud Computing.

[7]  H. Vincent Poor,et al.  Three-Party Energy Management With Distributed Energy Resources in Smart Grid , 2014, IEEE Transactions on Industrial Electronics.

[8]  Willett Kempton,et al.  ELECTRIC VEHICLES AS A NEW POWER SOURCE FOR ELECTRIC UTILITIES , 1997 .

[9]  Tingwen Huang,et al.  Reinforcement Learning in Energy Trading Game Among Smart Microgrids , 2016, IEEE Transactions on Industrial Electronics.

[10]  Xiaodong Lin,et al.  PTAS: Privacy-preserving Thin-client Authentication Scheme in blockchain-based PKI , 2019, Future Gener. Comput. Syst..

[11]  Yan Zhang,et al.  Demand Response Management With Multiple Utility Companies: A Two-Level Game Approach , 2014, IEEE Transactions on Smart Grid.

[12]  Xiang Cheng,et al.  Energy Management Framework for Electric Vehicles in the Smart Grid: A Three-Party Game , 2016, IEEE Communications Magazine.

[13]  Se-Chang Oh,et al.  Implementation of blockchain-based energy trading system , 2017 .

[14]  Walid Saad,et al.  Economics of Electric Vehicle Charging: A Game Theoretic Approach , 2012, IEEE Transactions on Smart Grid.

[15]  Shengli Xie,et al.  PHEV Charging and Discharging Cooperation in V2G Networks: A Coalition Game Approach , 2014, IEEE Internet of Things Journal.

[16]  Xinghuo Yu,et al.  Energy-Sharing Provider for PV Prosumer Clusters: A Hybrid Approach Using Stochastic Programming and Stackelberg Game , 2018, IEEE Transactions on Industrial Electronics.

[17]  Naveen K. Chilamkurti,et al.  Bayesian Coalition Negotiation Game as a Utility for Secure Energy Management in a Vehicles-to-Grid Environment , 2016, IEEE Transactions on Dependable and Secure Computing.

[18]  Biplab Sikdar,et al.  Consumer IoT: Security Vulnerability Case Studies and Solutions , 2020, IEEE Consumer Electronics Magazine.

[19]  E. Sortomme,et al.  Intelligent dispatch of Electric Vehicles performing vehicle-to-grid regulation , 2012, 2012 IEEE International Electric Vehicle Conference.

[20]  Moshe Zukerman,et al.  Distributed Energy Trading in Microgrids: A Game-Theoretic Model and Its Equilibrium Analysis , 2015, IEEE Transactions on Industrial Electronics.

[21]  Christof Weinhardt,et al.  A blockchain-based smart grid: towards sustainable local energy markets , 2017, Computer Science - Research and Development.

[22]  Mohsen Guizani,et al.  Smart Stock Exchange Market: A Secure Predictive Decentralized Model , 2019, 2019 IEEE Global Communications Conference (GLOBECOM).

[23]  Dushantha Nalin K. Jayakody,et al.  SDN-Based Secure and Privacy-Preserving Scheme for Vehicular Networks: A 5G Perspective , 2019, IEEE Transactions on Vehicular Technology.

[24]  Biplab Sikdar,et al.  A Survey on IoT Security: Application Areas, Security Threats, and Solution Architectures , 2019, IEEE Access.

[25]  Syed Hassan Ahmed,et al.  MobQoS: Mobility-Aware and QoS-Driven SDN Framework for Autonomous Vehicles , 2019, IEEE Wireless Communications.

[26]  Cheng Wang,et al.  Energy-Sharing Model With Price-Based Demand Response for Microgrids of Peer-to-Peer Prosumers , 2017, IEEE Transactions on Power Systems.

[27]  Wayes Tushar,et al.  Transforming Energy Networks via Peer to Peer Energy Trading: Potential of Game Theoretic Approaches , 2018, IEEE Signal Process. Mag..

[28]  Walid Saad,et al.  A Game-Theoretic Approach to Energy Trading in the Smart Grid , 2013, IEEE Transactions on Smart Grid.

[29]  Quanyan Zhu,et al.  Demand Response Management in the Smart Grid in a Large Population Regime , 2016, IEEE Transactions on Smart Grid.

[30]  Quanyan Zhu,et al.  Dependable Demand Response Management in the Smart Grid: A Stackelberg Game Approach , 2013, IEEE Transactions on Smart Grid.

[31]  Lingfeng Wang,et al.  Optimal Day-Ahead Charging Scheduling of Electric Vehicles Through an Aggregative Game Model , 2018, IEEE Transactions on Smart Grid.

[32]  François Gagnon,et al.  An Efficient Blockchain-Based Hierarchical Authentication Mechanism for Energy Trading in V2G Environment , 2019, 2019 IEEE International Conference on Communications Workshops (ICC Workshops).

[33]  Vincent W. S. Wong,et al.  Electric vehicle charging stations with renewable power generators: A game theoretical analysis , 2015, 2015 IEEE Power & Energy Society General Meeting.

[34]  S. Popov The Tangle , 2015 .

[35]  Satoshi Nakamoto Bitcoin : A Peer-to-Peer Electronic Cash System , 2009 .

[36]  Yan Zhang,et al.  Enabling Localized Peer-to-Peer Electricity Trading Among Plug-in Hybrid Electric Vehicles Using Consortium Blockchains , 2017, IEEE Transactions on Industrial Informatics.

[37]  Ufuk Topcu,et al.  Optimal decentralized protocol for electric vehicle charging , 2011, IEEE Transactions on Power Systems.

[38]  Vikas Hassija,et al.  Scheduling drone charging for multi-drone network based on consensus time-stamp and game theory , 2020, Comput. Commun..

[39]  D. Jenkins,et al.  Blockchain technology in the energy sector: A systematic review of challenges and opportunities , 2019, Renewable and Sustainable Energy Reviews.

[40]  Ian Hiskens,et al.  An Efficient Game for Coordinating Electric Vehicle Charging , 2017, IEEE Transactions on Automatic Control.

[41]  Vinay Chamola,et al.  Blockchain in Smart Grids: A Review on Different Use Cases , 2019, Sensors.