Credit Risk Management in Distributed Energy Resource Transactions Based on Blockchain

被引：0

作者：

Ping J. ^{[1
]}

Yan Z. ^{[1
]}

Chen S. ^{[1
]}

Shen Z. ^{[1
]}

Yang S. ^{[2
]}

Li J. ^{[2
]}

Qu H. ^{[2
]}

机构：

[1] Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education, Shanghai Jiao Tong University, Minhang District, Shanghai

[2] State Grid Energy Research Institute Co. Ltd., Changping District, Beijing

来源：

Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2019年 / 39卷 / 24期

基金：

中国国家自然科学基金;

关键词：

Blockchain; Consensus algorithm; Credit risk; Distributed energy resource trading; Proof-of-credit (PoC);

D O I：

10.13334/j.0258-8013.pcsee.181888

中图分类号：

学科分类号：

摘要：

With the increasing penetration of distributed energy resources (DERs), it is a new trend that DERs can transact with neighboring consumers. Compared with a traditional electricity transaction, the default problem in DER transactions is more serious due to the uncertainty of DER outputs and owners' desire of profits. This paper presented a credit management method for DER transactions by using blockchain technology. Firstly, the sources and damages of the credit risk in DER transactions were analyzed and a credit evaluation index in DER transaction was introduced. Then, a DER transaction model based on blockchain was presented. In the credit risk management process, a credit assessment technology for DER transaction based on blockchain was proposed that can assess the credit of DERs in a transparent and just manner. A credit risk control mechanism based on PoC (proof-of-credit) consensus algorithm was proposed. The algorithm encourages participants to maintain their credit scores in an incentive compatible way and avoids the credit problem in the DER transaction. Simulation results show that, with the proposed DER transaction smart contract and the credit risk control mechanism, participants with higher credit scores gain more profits than those with lower credit scores. © 2019 Chin. Soc. for Elec. Eng.

引用

页码：7137 / 7145

页数：8

共 26 条

[1] Shang J., Tan Z., Zhang H., Et al., Electricity Market Risk Control: Theory and Applications, (2014)
[2] Mori H., Umezawa Y., Credit risk evaluation in power market with random forest, Proceedings of 2007 IEEE International Conference on Systems, Man and Cybernetics, pp. 3737-3742, (2007)
[3] Ying Y., Research on credit risk of power market under the interaction between supply and demand, (2017)
[4] Sun J., Research on credit risk assessment for large consumers of grid enterprises under the new-round power market reform, (2017)
[5] Chen L., Yang Y., Yao J., Et al., Incentive mechanism design for demand response based on power score, Automation of Electric Power Systems, 37, 18, pp. 82-87, (2013)
[6] Montemayor L., Boersma T., Van Dorp T., Comprehensive guide to companies involved in blockchain and energy, (2018)
[7] Mengelkamp E., Garttner J., Rock K., Et al., Designing microgrid energy markets: a case study: the Brooklyn Microgrid, Applied Energy, 210, pp. 870-880, (2018)
[8] Cao Y., Energy blockchain and energy internet, Wind Energy, 5, pp. 14-15, (2016)
[9] Yang D., Zhao X., Xu Z., Et al., Developing status and prospect analysis of blockchain in energy internet, Proceedings of the CSEE, 37, 13, pp. 3664-3671, (2017)
[10] Chen Q., Wang K., Chen S., Et al., Transactive energy system for distributed agents: Architecture, mechanism design and key technologies, Automation of Electric Power Systems, 42, 3, (2018)

← 1 2 3 →