Trust-DETM: Distributed Energy Trading Model Based on Trusted Execution Environment

Xin Lu and Hongchen Guo ()
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Xin Lu: School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing 100081, China
Hongchen Guo: School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing 100081, China

Mathematics, 2023, vol. 11, issue 13, 1-18

Abstract: The traditional centralized power trading model suffers from high maintenance costs, low processing efficiency and unsynchronized information, and it cannot adapt to the high-frequency and small-dollar distributed energy trading scenario. To address the above issues, we propose Trust-DETM, a model for the implementation of distributed energy trading based on a trusted execution environment. First, we introduce a reputation metric mechanism and propose a transaction matching algorithm based on the reputation metric to achieve the accurate matching of transaction objects. Secondly, as the distributed energy trading model lacks an effective trust mechanism, we propose a commitment scheme based on smart contracts and a trusted execution environment to solve the trust problem between producers and consumers. Finally, we conduct a comprehensive experimental evaluation of the efficiency of Trust-DETM. Through comparative experiments, we find that Trust-DETM achieves trade matching and trusted execution in a lower simultaneous running time than comparable distributed trading models.

Keywords: distributed energy trading; trusted execution environment; blockchain (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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