Research on Trusted Power Transaction Strategy in Virtual Power Plant
编号:9 访问权限:仅限参会人 更新:2022-08-11 11:09:45 浏览:655次 口头报告

报告开始:2022年11月04日 08:30(Asia/Shanghai)

报告时间:20min

所在会场:[S] Power System and Automation [OS3] Oral Session 3

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摘要
With the large-scale deployment of renewable energy sources, the power trading system faces dual challenges of trust and efficiency. In this paper, we propose a novel distributed trusted transaction strategy for virtual power plants by using smart contracts on Hyperledger Fabric to provide energy services. A matching mechanism has been defined to realize automatic matching between purchases and sales. Furthermore, transaction records are stored in a blockchain distributed ledger, which will prevent trade disputes in transaction settlements. To develop and verify this market framework, Golang programming language is used to create the transaction smart contracts, and a modified IEEE 33-bus distribution system is chosen as the case study. Numerical results show that the proposed solution successfully improves the efficiency and safety of power transactions, and benefits both purchases and sales in the virtual power plant.
关键词
blockchain,distributed energy resources,smart contracts,virtual power plants,transactive energy
报告人
Xiaomin Zhong
School of Automation, Nanjing University of Science and Technology;Nanjing Research Division, China Electric Power Research Institute

稿件作者
Xiaomin Zhong School of Automation, Nanjing University of Science and Technology;Nanjing Research Division, China Electric Power Research Institute
Shaoyuan Yu Nanjing Research Division, China Electric Power Research Institute
Jian Zheng School of Automation, Nanjing University of Science and Technology;Nanjing Research Division, China Electric Power Research Institute
Ailin Chen Nanjing Research Division, China Electric Power Research Institute
Tao Wei Nanjing Research Division, China Electric Power Research Institute
Jiantao Liu Nanjing Research Division, China Electric Power Research Institute
Jing Zhou Nanjing Research Division, China Electric Power Research Institute
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重要日期
  • 会议日期

    11月03日

    2022

    11月05日

    2022

  • 08月01日 2022

    初稿截稿日期

  • 11月04日 2022

    注册截止日期

  • 11月05日 2022

    报告提交截止日期

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Huazhong University of Science and Technology
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