Energy internet has become the key technology for intelligent management of distributed devices and complementary applications of multiple forms of coupling energy. In order to solve the problem of multi-energy coordination optimization in energy, this paper proposes a multi-source and multi-level for the energy internet with renewable energy according to the idea of “layered control-collaborative optimization”. The distributed equipment is managed to realize coordinated and optimal scheduling of cold, heat, electricity and gas energy in the regional system. Finally, the genetic algorithm based on real number coding technology is used to simulate the optimization model. It is verified that the stratified optimization scheme can achieve regional energy Internet energy autonomy and multi-energy optimization with minimum cost as the optimization target, and solve the optimal scheduling between different regions problem.