Enhanced Proof-of-Benefit: A Secure Blockchain-Enabled EV Charging System

The emergence of blockchain technology brings opportunities for the transactional energy to minimize the time gap and cost in the trading process. This paper proposes a public power exchange service network for Electric Vehicles (EV) to charge and discharge from the power grid. An enhanced novel consensus mechanism Proof-of-Benefit (ePoB) is proposed to improve the protocol security and performance of the electricity exchange system. Furthermore, the benefit number generation algorithm for choosing the leader in the network guarantees the overall power grid network performance by minimizing the load variance. Through theoretical and experimental analysis, the public power exchange system with ePoB consensus protocol achieves higher scalability than Proof- of-Work (PoW) and Paxo-based or BFT-based consensus protocols. Also, it demonstrates that the consensus protocol is capable of withstanding the Sybil attack while achieving lower power load fluctuation level compared with the benchmark.

[1]  B. Dunn,et al.  Electrical Energy Storage for the Grid: A Battery of Choices , 2011, Science.

[2]  Priyanka Shinde,et al.  Optimal Electric Vehicle charging schedule for demand side management , 2016, 2016 First International Conference on Sustainable Green Buildings and Communities (SGBC).

[3]  Sunny King,et al.  PPCoin: Peer-to-Peer Crypto-Currency with Proof-of-Stake , 2012 .

[4]  Temuulen Tsagaan Sankey.  Spatial Resolution , 2008, Encyclopedia of GIS.

[5]  Warren He,et al.  Proof of Luck: an Efficient Blockchain Consensus Protocol , 2016, SysTEX@Middleware.

[6]  Yue Chen,et al.  Adaptive Blockchain-Based Electric Vehicle Participation Scheme in Smart Grid Platform , 2018, IEEE Access.

[7]  Jean C. Walrand,et al.  Optimal demand response with energy storage management , 2012, 2012 IEEE Third International Conference on Smart Grid Communications (SmartGridComm).

[8]  Chao Liu,et al.  Blockchain Based Energy Trading Model for Electric Vehicle Charging Schemes , 2018, SmartGIFT.

[9]  P. Sanjeevikumar,et al.  Decoupled Active and Reactive Power Control of Cascaded H-Bridge PV Inverter for Grid-Connected Applications , 2018 .

[10]  Zhenpo Wang,et al.  Grid Power Peak Shaving and Valley Filling Using Vehicle-to-Grid Systems , 2013, IEEE Transactions on Power Delivery.

[11]  Sisi Duan,et al.  Building Reliable and Practical Byzantine Fault Tolerance , 2014 .

[12]  Leslie Lamport,et al.  Consensus on transaction commit , 2004, TODS.

[13]  Derek W. Bunn,et al.  Agent-based simulation-an application to the new electricity trading arrangements of England and Wales , 2001, IEEE Trans. Evol. Comput..

[14]  Benjamin K. Sovacool,et al.  The Energy Trilemma and the Smart Grid: Implications Beyond the United States , 2017 .

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

[16]  Sanjeevikumar Padmanaban,et al.  Minimization of Load Variance in Power Grids—Investigation on Optimal Vehicle-to-Grid Scheduling , 2017 .

[17]  Lin Chen,et al.  On Security Analysis of Proof-of-Elapsed-Time (PoET) , 2017, SSS.