With gradually improving economy of battery energy storage technology

the growth of energy storage requirements

and the increase of application benefits of battery energy storage technology

comprehensive evaluation technology of energy storage configuration participating in user side power management and demand response is studied. Based on analytic hierarchy process

the scaling calculation method between different energy storage capacities is proposed under the technical-economical indicators

and the mathematical model of comprehensive evaluation indicator is established. Considering the decay of energy storage capacity

the model takes investment cost

life

net present value

payback period and rate of return on investment as the upper level objective function. Considering peak load shifting and demand response

the model takes net annual income of energy storage system as the lower level objective function

which can optimize the charging-discharging curve of energy storage system. A multi-objective optimization method based on analytic hierarchy process is proposed. The validity and feasibility of the proposed model and method are verified by example simulation

which show that the comprehensive evaluation indices can evaluate the feasibility of energy storage project and obtain the energy storage capacity with the highest comprehensive evaluation indices

referring to the focus of energy storage investors.