Electric power transaction of electric vehicle based on smart contract and double auction
DOI: 10.23977/acss.2020.040102 | Downloads: 17 | Views: 599
Baoyi Wang 1, Xiaoyuan Liu 1, Shaomin Zhang 1
1 School of Control and Computer Engineering, North China Electric Power University, China
Corresponding AuthorBaoyi Wang
The increase of the number of electric vehicles leads to serious peak valley imbalance in the power grid. In order to achieve "peak cutting and valley filling", according to the energy storage characteristics of electric vehicles, this paper proposes an electric vehicle group (EVG) energy trading method based on smart contract and double auction matching mechanism, and constructs the electric energy transaction process of the electric vehicle and electric vehicle in the electric vehicle group under the unbalanced load of the power grid. Through deploying the double auction matching algorithm to the smart contract, the automatic execution of matching transaction and automatic clearing of transaction cost are realized, which saves the economic cost of manual matching mode. In addition, the multi-stage quotation method proposed greatly improves the number of transactions. The simulation experiment based on Monte Carlo simulation shows that the power transaction method can not only effectively alleviate the peak valley problem of power grid load, achieve the effect of "reducing peak and raising Valley", but also can improve the transaction efficiency.
KEYWORDSelectric vehicles, smart contract, double auction
CITE THIS PAPER
Baoyi Wang, Xiaoyuan Liu and Shaomin Zhang. Electric power transaction of electric vehicle based on smart contract and double auction. Advances in Computer, Signals and Systems (2020) 4: 7-12. DOI: http://dx.doi.org/10.23977/acss.2020.040102.
 State Council. Energy saving and new energy vehicle industry development plan (2012-2020) [EB / OL] (2012-07-09). Http://www.miit.gov.cn/n1146295/n1146557/n 1146619/c3072778/content.html.
 Li Jiazhuang, Ai Xin, Hu Junjie. Modeling and control strategy of electric vehicle participating in grid secondary frequency modulation [J]. Grid technology, Volume: 43, NO. 2, Pages: 495-503, 2019.
 Ding Ding, Luo Siwei, AI Lihua. Adaptive cloud computing resource allocation mechanism based on two-way auction [J]. Journal of communications, Volume: 33, Pages: 132-140, SEP 2012.
 Zhou Tianpei, Sun Wei. Interaction technology between electric vehicle and power grid based on Microgrid [J]. Power system automation, VOL: 42, NO. 3, Pages: 98-104, 2019.
 Geng B，Mills J K，Sun D．Two-stage charging strategy for plug-in electric vehicles at the residential transformer level[J]. IEEE Transactions on Smart Grid,VOL. 4, NO. 3, Pages: 1442-1452, 2013.
 Rassaei, F., W. Soh and K. Chua, Distributed Scalable Autonomous Market-Based Demand Response via Residential Plug-In Electric Vehicles in Smart Grids. IEEE Transactions on Smart Grid,VOL. 9, NO. 4, Pages: 3281-3290, 2018.
 S cheng,Bzeng,Y z huang. Research on application model of blockchain technology in distributed electricity market [J]. IOP Conference Series: Earth and Environmental Science, VOL: 93, NO. 1, Pages: 1-11, 2017.
 Li Bin, Cao Wangzhang, Zhang Jie, et al. Multi energy system trading system and key technologies based on heterogeneous blockchain [J]. Power system automation, VOL. 42, NO. 4, Pages: 183-193, 2018.
 Zhang, X., et al., Comparative Analysis of Sequential and Combinatorial Auctions Based on Petri Nets. IEEE Access, VOL. 6, Pages: 38071-38085, 2018.