A priority-based approach for peer-to-peer energy trading using cooperative game theory in local energy community

Author(s):  
Sweta Malik ◽  
Maeve Duffy ◽  
Subhasis Thakur ◽  
Barry Hayes ◽  
John Breslin
2020 ◽  
Vol 183 ◽  
pp. 106278 ◽  
Author(s):  
Waqas Amin ◽  
Qi Huang ◽  
M. Afzal ◽  
Abdullah Aman Khan ◽  
Khalid Umer ◽  
...  

2021 ◽  
Vol 675 (1) ◽  
pp. 012118
Author(s):  
Jianquan Liang ◽  
Panbao Wang ◽  
Wei Sun ◽  
Jian Zhang ◽  
Dianguo Xu

Author(s):  
Cunbin Li ◽  
Ding Liu ◽  
Yi Wang ◽  
Chunyan Liang

AbstractAdvanced grid technology represented by smart grid and energy internet is the core feature of the next-generation power grid. The next-generation power grid will be a large-scale cyber-physical system (CPS), which will have a higher level of risk management due to its flexibility in sensing and control. This paper explains the methods and results of a study on grid CPS’s behavior after risk. Firstly, a behavior model based on hybrid automata is built to simulate grid CPS’s risk decisions. Then, a GCPS risk transfer model based on cooperative game theory is built. The model allows decisions to ignore complex network structures. On this basis, a modified applicant-proposing algorithm to achieve risk optimum is proposed. The risk management model proposed in this paper can provide references for power generation and transmission decision after risk as well as risk aversion, an empirical study in north China verifies its validity.


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