A novel communication efficient peer-to-peer energy trading scheme for enhanced privacy in microgrids

2021 ◽  
Vol 296 ◽  
pp. 117075
Author(s):  
Khalid Umer ◽  
Qi Huang ◽  
Mohsen Khorasany ◽  
Muhammad Afzal ◽  
Waqas Amin
2022 ◽  
Vol 8 ◽  
pp. 59-66
Author(s):  
Xiaoyu Wang ◽  
Tao Xu ◽  
Yunfei Mu ◽  
Zibo Wang ◽  
Youjun Deng ◽  
...  

Author(s):  
Pronaya Bhattacharya ◽  
Sudeep Tanwar ◽  
Umesh Bodkhe ◽  
Ashwani Kumar ◽  
Neeraj Kumar

2021 ◽  
Vol 295 ◽  
pp. 117056
Author(s):  
Tonghe Wang ◽  
Jian Guo ◽  
Songpu Ai ◽  
Junwei Cao

Electronics ◽  
2021 ◽  
Vol 10 (15) ◽  
pp. 1815
Author(s):  
Longze Wang ◽  
Yu Xie ◽  
Delong Zhang ◽  
Jinxin Liu ◽  
Siyu Jiang ◽  
...  

Blockchain-based peer-to-peer (P2P) energy trading is one of the most viable solutions to incentivize prosumers in distributed electricity markets. However, P2P energy trading through an open-end blockchain network is not conducive to mutual credit and the privacy protection of stakeholders. Therefore, improving the credibility of P2P energy trading is an urgent problem for distributed electricity markets. In this paper, a novel double-layer energy blockchain network is proposed that stores private trading data separately from publicly available information. This blockchain network is based on optimized cross-chain interoperability technology and fully considers the special attributes of energy trading. Firstly, an optimized ring mapping encryption algorithm is designed to resist malicious nodes. Secondly, a consensus verification subgroup is built according to contract performance, consensus participation and trading enthusiasm. This subgroup verifies the consensus information through the credit-threshold digital signature. Thirdly, an energy trading model is embedded in the blockchain network, featuring dynamic bidding and credit incentives. Finally, the Erenhot distributed electricity market in China is utilized for example analysis, which demonstrates the proposed method could improve the credibility of P2P trading and realize effective supervision.


2021 ◽  
Vol 287 ◽  
pp. 116598
Author(s):  
Jaysson Guerrero ◽  
Bunyim Sok ◽  
Archie C. Chapman ◽  
Gregor Verbič

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