Gao, B., Zhang, W., Tang, Y., Hu, M., Zhu, M. and Zhan, H. (2014) Game-Theoretic Energy Management for Residential Users with Dischargeable Plug-in Electric Vehicles. Energies, 7, 7499-7518.
https://doi.org/10.3390/en7117499

has been cited by the following article:

• TITLE: Optimal Demand-Side Management for Smart Micro Grid with Storage

  AUTHORS: Hugor Ininahazwe, Christopher Maina Muriithi, Stanley Kamau

  KEYWORDS: Demand Side Management, Game Theory, Storage Device, Smart Grid, Distributed Algorithm

  JOURNAL NAME: Journal of Power and Energy Engineering, Vol.6 No.2, February 14, 2018

  ABSTRACT: In this paper, an autonomous and distributive demand-side management based on Bayesian game theory is developed and applied among users in a grid connected micro-grid with storage. To derive that strategy, an energy consumption of shiftable loads belonging to a given user is modelled as a noncooperative three-player game of incomplete information, in which each user plays against the storage unit and an opponent gathering all the other users in the micro-grid. Each player is assumed to be endowed with statistical information about its behavior and that of its opponents so that he can take actions maximizing his expected utility. Results of the proposed strategy evaluated by simulating, under MATLAB environment, a connected micro-grid with storage device evidence its efficacy when employed to manage the charging of electric vehicles.