Abstract: Energy internet is an advanced idea and technology to integrate high penetration level of renewable energy resources,to promote the power quality and demand side management capability,as well as to improve the safety,reliability and the economics of the future power system. Residential energy local network（RELN） as one of the most important sub-networks in the energy internet,which compromises renewable energy generators,distributed micro controllable generators,energy storage system,electrical vehicles,and local smart loads. Intelligent energy management technologies are needed to achieve high economic and reliability of the RELN,additionally,to efficiently cooperate with other energy local networks to guarantee the overall performance of the energy internet. This paper modeled a comprehensive structure of the RELN,then proposed a mixed integer quadratic programming model to optimize energy dispatch,and further utilized the model predictive control based strategy to operate it online. Simulation results show that our operation strategy can lower energy cost for the costumers and has better performance in prediction uncertainty situations than traditional methods.