Hydrogen production from new energy electricity is one of the key technologies to achieve “2060 carbonneutral”. However

the output of new energy power generation is random

and both the investment cost and operation cost of the flexible proton exchange membrane(PEM) electrolyzer are high. Therefore

how to configure the PEM hydrogen production system that takes into account both the abandonment rate of new energy power stations and the economy of hydrogen production system during the whole life cycle of new energy power stations with random power output has great significance. By taking hydrogen production by wind power system as an example

a wholelife cycle cost and income analysis model of the PEM electric hydrogen production system with stochastic fluctuation input is established in this paper

and the total income

investment payback period and internal rate of return(IRR) are used as the evaluation indexes to carry out economic analysis. On this basis

three double-layer planning models for the wind power-PEM electric hydrogen production system are proposed

with the smallest total cost

highest total income and largest internal rate of return of the PEM electric hydrogen production system over the whole life cycle as the objective function of the upper layer optimization model

and the smallest abandonment rate of the wind farm as the objective function of the lower layer optimization model. The MATLAB genetic algorithm tool box is applied to solve the optimization model. Finally

the effectiveness of the proposed two-level planning model and the economic feasibility of wind power hydrogen production are verified by taking an actual wind power plant station as an example.