• 其他栏目

    宁兆龙

    • 副教授     硕士生导师
    • 主要任职:无
    • 性别:男
    • 毕业院校:东北大学
    • 学位:博士
    • 在职信息:在职
    • 所在单位:软件学院
    • 学科:软件工程 通信与信息系统
    • 联系方式:zhaolongning@dlut.edu.cn
    • 电子邮箱:

    访问量:

    开通时间 :..

    最后更新时间:..

    Local Electricity Storage for Blockchain-Based Energy Trading in Industrial Internet of Things

    点击量:

    论文类型:期刊论文

    第一作者:Hou, Weigang

    通讯作者:Ning, ZL (reprint author), Xidian Univ, State Key Lab Integrated Serv Networks, Xian 710071, Shaanxi, Peoples R China.; Ning, ZL (reprint author), Dalian Univ Technol, Key Lab Ubiquitous Network & Serv Software Liaoni, Sch Software, Dalian 116620, Peoples R China.

    合写作者:Guo, Lei,Ning, Zhaolong

    发表时间:2019-06-01

    发表刊物:IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS

    收录刊物:EI、SCIE

    卷号:15

    期号:6

    页面范围:3610-3619

    ISSN号:1551-3203

    关键字:Blockchain; energy trading; industrial Internet of Things (IIoT); local electricity storage

    摘要:The peer-to-peer energy trading has been achieved among nodes in industrial Internet of Things. To establish a secure private market, some meaningful works propose the concept of the energy chain, where one block is added in a linear and chronological order once the trading pair of nodes (buyer and seller) has a valid transaction verified by data audit (e.g., a hash value). Since the buyer applies virtual coins from the credit bank to buy others' surplus energy, a considerable credit utility is obtained if all nodes are encouraged to meet local power loads out of self-interest. However, such frequent transactions have huge operational overhead, including a long chain maintaining many blocks and an expensive energy transportation cost between trading pairs. To solve these challenging issues, our method enables nodes to satisfy their power loads through local stored energy (self-sufficiency), before participating as sellers if they still have considerable surplus electricity. Without transactions made by some self-sufficient nodes, the operational overhead can be mitigated in a more secure environment. Taking the classic Internet of energy as a case study, we demonstrate the effectiveness of our solutions, and it can achieve a good tradeoff between credit utility and operational overhead.