Evolutionary game theoretic demand-side management and control for a class of networked smart grid

Bing Zhu ^[1] ; Xiaohua Xia ^[1] ; Zhou Wu ^[2]
1. [1] University of Pretoria
  
  University of Pretoria
  
  City of Tshwane, Sudáfrica
2. [2] Chongqing University
  
  Chongqing University
  
  China
Localización: Automatica: A journal of IFAC the International Federation of Automatic Control, ISSN 0005-1098, Vol. 70, 2016, págs. 94-100
Idioma: inglés
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Resumen
- In this paper, a new demand-side management problem of networked smart grid is formulated and solved based on evolutionary game theory. The objective is to minimize the overall cost of the smart grid, where individual communities can switch between grid power and local power according to strategies of their neighbors. The distinctive feature of the proposed formulation is that, a small portion of the communities are cooperative, while others pursue their own benefits. This formulation can be categorized as control networked evolutionary game, which can be solved systematically by using semi-tensor product. A new binary optimal control algorithm is applied to optimize transient performances of the networked evolutionary game.