JISE


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Journal of Information Science and Engineering, Vol. 37 No. 1, pp. 55-66


Distributed Energy Intelligent Transaction Model and Credit Risk Management Based on Energy Blockchain


YI ZHANG1,2
1School of Economics and Management
Tongji University
Shanghai, 200090 P.R. China

2School of Economics and Management
Shanghai University of Electric Power
Shanghai, 200090 P.R. China
E-mail: zhangyish@126.com


This paper puts forward a distributed intelligent power information (DIPI) transacttion model based on energy blockchain and a credit risk management mechanism, such that distributed power generation companies (DPGCs) and users can transact directly in a smart, real-time and secure manner. Specifically, the credit evaluation index of mobile power information was designed for DIPI transaction parties, after analyzing the sources and harms of the credit risk of DIPI transactions. Under the blockchain-based DIPI transaction model, the author established a mechanism that assesses the credit of DIPI transaction parties openly and transparently and outputs tamper-resistant credit values. Based on the digital proof of credit asset, the credit value was recorded as a special label in the serial number of the transaction script, making the credit weight corresponds to credit value under the credit index blockchain (CIB). Next, the author put forward the credit management mechanism for DIPI transactions based on the proof-of-credit assessment (POCA) consensus mechanism, with which the market players are economically incented to maintain their credit. The case analysis shows that our transaction model achieved higher transaction efficiency, fewer breaches and more orderly transactions in the DIPI market than the traditional centralized transaction mode. The research findings provide a reference for further research on the application of block chain technology in distributed energy mobile power information transaction.


Keywords: energy blockchain, distributed intelligent power information (DIPI) transaction, credit risk, credit assessment, consensus mechanism

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