Research on Trusted Power Transaction Strategy in Virtual Power Plant
ID:9 View Protection:ATTENDEE Updated Time:2022-08-11 11:09:45 Hits:457 Oral Presentation

Start Time:2022-11-04 08:30(Asia/Shanghai)

Duration:20min

Session:S Power System and Automation » OS3Oral Session 3

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Abstract
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.
Keywords
blockchain,distributed energy resources,smart contracts,virtual power plants,transactive energy
Speaker
Xiaomin Zhong
School of Automation, Nanjing University of Science and Technology;Nanjing Research Division, China Electric Power Research Institute

Submission Author
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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Important Date
  • Conference Date

    Nov 03

    2022

    to

    Nov 05

    2022

  • Aug 01 2022

    Draft paper submission deadline

  • Nov 04 2022

    Registration deadline

  • Nov 05 2022

    Contribution Submission Deadline

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