Real-time implementation of multiagent-based game theory reverse auction model for microgrid market operation

Author(s):  
Mehmet H. Cintuglu ◽  
Harold Martin ◽  
Osama A. Mohammed
2015 ◽  
Vol 6 (2) ◽  
pp. 1064-1072 ◽  
Author(s):  
Mehmet Hazar Cintuglu ◽  
Harold Martin ◽  
Osama A. Mohammed

10.5772/6232 ◽  
2008 ◽  
Vol 5 (4) ◽  
pp. 44 ◽  
Author(s):  
Yan Meng

This paper proposes a game-theory based approach in a multi–target searching using a multi-robot system in a dynamic environment. It is assumed that a rough priori probability map of the targets' distribution within the environment is given. To consider the interaction between the robots, a dynamic-programming equation is proposed to estimate the utility function for each robot. Based on this utility function, a cooperative nonzero-sum game is generated, where both pure Nash Equilibrium and mixed-strategy Equilibrium solutions are presented to achieve an optimal overall robot behaviors. A special consideration has been taken to improve the real-time performance of the game-theory based approach. Several mechanisms, such as event-driven discretization, one-step dynamic programming, and decision buffer, have been proposed to reduce the computational complexity. The main advantage of the algorithm lies in its real-time capabilities whilst being efficient and robust to dynamic environments.


2010 ◽  
Vol 15 (4) ◽  
pp. 504-511
Author(s):  
Xuan-liang Zheng ◽  
Yun-long Wang ◽  
Yan Lin

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