Comprehensive Demand Assessment of Energy Storage Participation in High -Speed Rail Auxiliary Services Based on Combined Empowerment TOPSIS Model

To address the problem that the current single weighting method cannot take into account the subjective and objective weight information, which makes the weights biased easily, and the influence of the overlapping level of indicator information on the evaluation results is not considered. AHPimproved CRITIC method is proposed to find the combination weights. The ranking method of TOPSIS, an approximate ideal solution, is used to realize the comprehensive evaluation of the dual auxiliary service demand of energy storage system applied to peak shaving and regenerative braking energy recovery and utilization of high-speed rail loads. The operability and accuracy of the combined empowerment TOPSIS model and the practicality of achieving energy storage media selection are demonstrated by example analysis.