Energy Consumption Scheduling in Smart Grid: A Non-Cooperative Game Approach

This paper is concerned with an energy consumption scheduling problem for consumers in smart grid, based on a real time pricing strategy. Firstly, the energy consumption scheduling problem is cast into a noncooperative energy consumption game, where consumers compete with each other in order to minimize their electricity usage cost. Secondly, we prove that the non-cooperative energy consumption game has a unique Nash equilibrium point, i.e., optimal energy consumption solution. Thirdly, the energy consumption solution is obtained by a discrete iterative algorithm. Simulation results show that the energy consumption scheduling scheme is effective in matching the varying generation capacity in a day.