Firstly, this paper establishes four optimization models for the configuration of user-side energy storage that participates in different comprehensive income modes, based on peak-valley electricity arbitrage, demand management, demand response, and emergency power supply. Secondly, comprehensive evaluation indexes are used as the basis for energy storage configurations evaluating. And multiple factors such as initial investment, whole life cycle net income, the rate of return on investment and investment recovery period are comprehensively considered. The TOPSIS method is employed to evaluate the configurations of energy storage by subjective, objective, and the combination of subjective and objective weights. Finally, simulation examples were conducted on Matlab for the configuration models of user-side energy storage The energy storage configurations are sorted to provide customers with the optimal auxiliary service participation mode based on comprehensive evaluation indexes.