[Objective] To improve the practicality of wind-photovoltaic-hydrogen storage system planning and enhance the accuracy of economic evaluations

an optimal configuration method integrating multiple constraints is proposed. It addresses the common oversight in current research regarding actual grid constraints and the operational characteristics of key equipment. [Methods] The core innovation of this method lies in the organic integration of critical equipment operational features with grid policy constraints

which is reflected in two main aspects: first

by considering the start-stop characteristics of the electrolyzer

a dynamic start-stop and weighted power allocation strategy is adopted to better align with real-world operational scenarios; second

key policy requirements

such as grid feed-in and feed-out power limits and electricity quotas

are incorporated as rigid boundary conditions into the optimization model. The constructed model takes the net present value(NPV) over the full life cycle as the objective function

comprehensively considering grid constraints and electrolyzer operational characteristics. A case study is conducted based on actual meteorological data from a region in Inner Mongolia

focusing on a 150 MW integrated wind-photovoltaic-hydrogen storage project. The system configuration includes 100 MW of wind power and 30 MW of photovoltaic power. The simulation analysis period spans 20 years

with a discount rate of 5% applied for economic evaluation. [Results] The results show that the proposed method can derive a technically feasible and economically optimal system configuration while strictly adhering to policy and operational constraints. This effectively avoids the underestimation of operational costs and potential infeasibility due to model oversimplification. Both hydrogen selling price and feed-in tariff are key parameters influencing the system's economic performance

with the sensitivity of hydrogen price to NPV being significantly higher than that of the feed-in tariff

the absolute sensitivity coefficient of hydrogen price is eight times greater. The calculated breakeven parameters indicate that

with a feed-in tariff of 0.282 9 yuan/(kW·h)

the hydrogen price must reach at least 1.88 yuan/m3 for the project to achieve profitability

providing a clear quantitative basis for feasibility assessment. The case study results indicate that

under current hydrogen and electricity price levels

the project's economic viability remains challenging

requiring coordinated efforts in technology cost reduction

market mechanisms

and policy support. [Conclusion] The proposed method enhances the adaptability of planning schemes to actual engineering and policy contexts

offering a theoretical foundation and practical decision-making support to the scientific planning of wind-photovoltaic-hydrogen storage systems. Moreover

the modeling framework can be extended to feasibility assessments of other new energy projects

such as solar-hydrogen

wind-hydrogen

and various other renewable energy storage configurations

providing valuable insights for decision-makers and project developers during the energy transition process.