Abstract: The use of comprehensive evaluation for scientific and quantitative analysis of the growing new energy big data service （NEBDS） platform plays an important role in promoting and improving the construction of data service operation. At first,considering the purpose and demand of NEBDS,the comprehensive index system for evaluating the operational efficiency of NEBDS is constructed from the four aspects,i. e.,economy,technology,environmental benefits and social services. At the same time,the combination of subjective and objective weight method based on improved analytic hierarchy process and entropy is also studied by application of the principle of minimum discriminatory information. Secondly,in view of the fact that decision-makers have different subjective tendencies in value judgment when facing gains and losses,starting from assessing both the limited rationality and risk avoidance of investors,the comprehensive evaluation method for ranking the optimal new energy big data service projects is proposed by using the prospect theory to improve the TOPSIS method. Finally,the effectiveness of the proposed comprehensive benefit evaluation method is verified by simulation.