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发表时间:2019-12-03 阅读次数:71次
报告题目: An Extended Mean Field Game for Storage in Smart Grids
报 告 人:Anis Matoussi
报告人所在单位:Le Mans Université
报告日期:2019-12-03 星期二
报告时间:11:00-12:00
报告地点:光华东主楼1501
  
报告摘要:
     We consider a stylized model for a power network with distributed local power generation and storage. This system is modeled as a network connection of a large number of nodes, where each node is characterized by a local electricity consump- tion, has a local electricity production (e.g. photovoltaic panels), and manages a local storage device. Depending on its instantaneous consumption and production rate as well as its storage management decision, each node may either buy or sell electricity, impacting the electricity spot price. The objective at each node is to minimize energy and storage costs by optimally controlling the storage device. In a non-cooperative game setting, we are led to the analysis of a non-zero sum stochastic game with N players where the interaction takes place through the spot price mechanism. For an infinite number of agents, our model corresponds to an Extended Mean-Field Game. We are able to compare this solution to the optimal strategy of a central planner and in a linear quadratic setting, we obtain and explicit solution to the Extended Mean-Field Game and we show that it provides an approximate Nash-equilibrium for N-player game.  
 
  
本年度学院报告总序号:270

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