scholarly journals A Joint Power Allocation and User Association Based on Non-Cooperative Game Theory in an Heterogeneous Ultra-Dense Network

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 111790-111800 ◽  
Author(s):  
Amel Khodmi ◽  
Sonia Ben Rejeb ◽  
Nazim Agoulmine ◽  
Zied Choukair
Keyword(s):  
Game Theory ◽  
Power Allocation ◽  
Cooperative Game ◽  
Cooperative Game Theory ◽  
User Association ◽  
Dense Network ◽  
Joint Power ◽  
Ultra Dense Network

Grid Cyber-Physical System Risk Management Model Based on Cooperative Game Theory

2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Cunbin Li ◽  
Ding Liu ◽  
Yi Wang ◽  
Chunyan Liang
Keyword(s):  
Game Theory ◽  
Risk Management ◽  
Cooperative Game ◽  
Physical System ◽  
Cooperative Game Theory ◽  
Power Grid ◽  
Management Model ◽  
Cyber Physical System ◽  
Model Based ◽  
Generation Power

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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