The invention relates to a distributed electric heating system multi-objective optimization method based on an NSGA2 algorithm. The method is characterized by comprising the following steps that a distributed electric heating system multi-objective optimization mold is built, wherein heat gains of all sub systems when a system operates are calculated, heat gains needed by a room when the whole system operates are calculated, the power consumption amounts of all the sub systems when the whole system operates are calculated, and finally a multi-objective object optimization function of the distributed electric heating system is established and a constraint condition is set; for the objective function model, optimization solution is conducted through an NSGA2 algorithm, and the Pareto optimizing front-end of object optimization is obtained. Accordingly, the design is reasonable, by means of the NSGA2 algorithm, optimized parameter configuration can be obtained for the multi-objective optimization model, the result is obviously superior to traditional multi-objective optimization and unoptimized original data, and the requirements of the system for saving energy and improving the energy efficiency are met.