Energy Trading Scheme Based on Stackelberg Game to Optimize Energy Price and Power

Author(s):  
Chen Liu ◽  
Weidang Lu ◽  
Jie Zhang ◽  
Hong Peng ◽  
Zhijiang Xu ◽  
...  
Author(s):  
Pronaya Bhattacharya ◽  
Sudeep Tanwar ◽  
Umesh Bodkhe ◽  
Ashwani Kumar ◽  
Neeraj Kumar

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 192587-192596
Author(s):  
Yangyang Long ◽  
Yuling Chen ◽  
Wei Ren ◽  
Hui Dou ◽  
Neal Naixue Xiong

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Jianwen Hu ◽  
Yuling Chen ◽  
Xiaojun Ren ◽  
Yixian Yang ◽  
Xiaobin Qian ◽  
...  

As the technical support of the industrial Internet of Things, blockchain technology has been widely used in energy trading, data transactions, and Internet of Vehicles. However, most of the existing energy trading models only address the transaction security and transaction privacy issues that arise in the energy trading process, ignoring the fairness of resource allocation and transaction equity in the trading process. In order to tackle those problems, an energy trading scheme called HO-TRAD is proposed in this paper to improve the efficiency of model trading while ensuring the fairness of energy trading. We propose a new trading strategy in the HO-TRAD energy trading scheme that guarantees fairness in the allocation of trading resources by introducing an entity’s active reputation value. Use smart contracts to achieve transparency and ensure fairness in the transaction process. Based on the identity verification foundation of the consortium chain, the scheme enhances the existing PBFT consensus algorithm and improves the efficiency of model transactions. The experimental simulation indicates that the scheme requires less transaction time and has higher transaction fairness and security.


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