Dual Energy Scheduling for Microgrids in Energy Internet: A Non-Cooperative Game Approach

Abstract

In the future Energy Internet, one of the challenging problems faced by microgrids will be the multiple energy management including outer energy exchange and inner energy schedule. This paper proposes a game theory based dual energy scheduling method for microgrids in Energy Internet. The dual energy scheduling problem is formulated as a non-cooperative game, where household users within a microgrid schedule electricity and gas usages to minimize their total energy costs. The energy router in the microgrid is responsible for providing users with information that is needed in the game process, and executing multi-energy control according to the game results. The existence and uniqueness of Nash equilibrium for the proposed game model are discussed, and an iterative algorithm for reaching the equilibrium is presented. Simulation results show that the proposed game-based approach can effectively reduce both electricity and gas consumption costs of household users in a microgrid.