Abstract
Power data transaction is significant to the benefit increment of power enterprises and revitalization of social resources. Blockchain has a wide application prospect in data trading, but its concrete implementation faces many difficulties. This article proposes an obstacle analysis framework to understand the barriers of application of blockchain technology in power data trading, aiming to provide a decision-making guidance and management suggestions to relevant personnel. Firstly, an obstacle index system with 11 barriers is determined from three aspects of application, technology and legal policy. Secondly, a quantitative analysis model is constructed with (IT2TrFN), improved hesitant fuzzy linguistic term set (HFLTS), decision-making trial and evaluation laboratory (DEMATEL) and interpretive structural modeling (ISM). And the K-means method is employed to optimize the discrimination of influence relations among indicators. Then, the model is applied in a case study to testify its applicability. The result shows that the difficulty in data maintenance is fundamental obstacle, the barriers of smart contract and supervision in transaction are important factors. Finally, a series of optimization measures and suggestions are put forward for different obstacles.
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