Author(s)

Hugor Ininahazwe¹, Christopher Maina Muriithi², Stanley Kamau³

¹Department of Electrical & Electronic Engineering, PAUSTI, Nairobi, Kenya.
²Dean School of Engineering and Technology, Murang’a University of Technology, Muranga, Kenya.
³Electrical and Electronic Engineering, JKUAT, Nairobi, Kenya.

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.

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

Ininahazwe, H. , Muriithi, C. and Kamau, S. (2018) Optimal Demand-Side Management for Smart Micro Grid with Storage. Journal of Power and Energy Engineering, 6, 38-58. doi: 10.4236/jpee.2018.62004.