Under the situation of energy reform and development with the promotion of low carbon and high efficiency, it is imperative to build a new green township energy system. This paper fully considers the characteristics of natural resources in rural areas, proposes a renewable micro-energy network system that integrates wind, light, biogas and geothermal energy, and models the required energy equipment. Based on the traditional energy system, evaluation indicators such as the cost saving rate, pollution reduction rate and energy efficiency improvement rate are designed. This paper comprehensively considers the above multi-dimensional performance indicators, a double-layer optimal allocation model of renewable micro-energy network is built, which adopts non-dominated sorting genetic algorithm and CPLEX solver to solve the upper layer and lower layer models respectively, and uses the fuzzy theory to choose the global optimal allocation scheme. Finally, a multi-energy complementary demonstration project in Jiangxi Province is taken as an example to verify the rationality and superiority of the proposed method.