基于联盟区块链技术的V2V电力交易研究
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摘要
针对电动汽车用户的里程焦虑,提出一种基于联盟区块链技术的V2V电力交易架构。首先运用联盟区块链技术来建立电动汽车V2V电力交易平台;然后构建电动汽车充电的成本模型和供电的收益模型,并运用二分图表示V2V电力交易双方的关系;最后使用拍卖算法求解二分图的最大权重匹配,从而得到电动汽车V2V电力交易匹配。安全性分析和算例仿真证明了本文提出的基于联盟区块链技术的V2V电力交易架构的安全性和有效性。
In order to alleviate range anxiety among of electric vehicle users,a V2 V(vehicle to vehicle)electricity trading architecture based on the consortium blockchain technology is proposed.First,an electric vehicle V2 V electricity trading platform is established using the consortium blockchain technology.Second,an EV charging cost model and an EV discharging revenue model are built and a bipartite graph is employed to model the relationship between V2 V electricity trading EVs.Finally,the maximum weight matching of a bipartite graph is solved by the auction algorithm to obtain the V2 V electricity trading match.Security and effectiveness of the V2 V electricity trading architecture based on the consortium blockchain technology is verified through safety analysis and simulation results.
In order to alleviate range anxiety among of electric vehicle users,a V2 V(vehicle to vehicle)electricity trading architecture based on the consortium blockchain technology is proposed.First,an electric vehicle V2 V electricity trading platform is established using the consortium blockchain technology.Second,an EV charging cost model and an EV discharging revenue model are built and a bipartite graph is employed to model the relationship between V2 V electricity trading EVs.Finally,the maximum weight matching of a bipartite graph is solved by the auction algorithm to obtain the V2 V electricity trading match.Security and effectiveness of the V2 V electricity trading architecture based on the consortium blockchain technology is verified through safety analysis and simulation results.
引文
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[2]BULUT E,KISACIKOGLU M C.Mitigating range anxiety via vehicle-to-vehicle social charging system[C]//IEEE,Vehicular Technology Conference:Vtc2017-Spring.IEEE,2017:1-5.
[3]MALHOTRA A,BINETTI G,DAVOUDI A,et al.Distributed power profile tracking for heterogeneous charging of electric vehicles[J].IEEE Transactions on Smart Grid,2017,8(5):2090-2099.
[4]YAO E,WONG V W S,SCHOBER R.Optimization of aggregate capacity of PEVs for frequency regulation service in day-ahead market[J].IEEE Transactions on Smart Grid,2018,9(4):3519-3529.
[5]WANG M,ISMAIL M,ZHANG R,et al.Spatiotemporal coordinated V2Vfast charging strategy for mobile GEVs via price control[J].IEEE Transactions on Smart Grid,2018,9(3):1566-1579.
[6]ZHANG R,CHENG X,YANG L.Flexible energy management protocol for cooperative EV-to-EV charging[J].IEEE Transactions on Intelligent Transportation Systems,2019,20(1):172-184.
[7]邵奇峰,金澈清,张召,等.区块链技术:架构及进展[J].计算机学报,2018,41(5):969-988.SHAO Qifeng,JIN Cheqing,ZHANG Zhao,et al.Blockchain:architecture and research progress[J].Chinese Journal of Computers,2018,41(5):969-988.
[8]Bitcoin:A peer-to-peer electronic cash system[EB/OL].[2018-05-12].https://bitcoin.org/bitcoin.pdf.
[9]BAYATI M,SHAH D,SHARMA M.Maximum weight matching via max-product belief propagation[J].IEEE Transactions on Information Theory,2005,54(3):1763-1767.
[10]KUHN H W.The Hungarian method for the assignment problem[J].Naval Research Logistics,2005,52(1):7-21.
[11]BERTSEKAS D P.The auction algorithm:a distributed relaxation method for the assignment problem[J].Annals of Operations Research,1988,14(1):105-123.