Hydrogenation network node site selection method and service platform based on hydrogen source diversity

By optimizing the node site selection of the hydrogen refueling network through genetic algorithms and target solvers, the problem of failing to effectively consider the diversity of hydrogen sources and carbon emission costs in existing technologies is solved, and effective carbon emission reduction and cost optimization of the hydrogen refueling network are achieved.

CN119539420BActive Publication Date: 2025-10-03JINAN UNIVERSITY
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Patent Information

Application Number
CN202411715754.5
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-11-27
Publication Date
2025-10-03
Estimated Expiration
2044-11-27

AI Technical Summary

Technical Problem

The existing hydrogen refueling network node site selection plan fails to effectively consider the diversity of hydrogen sources and carbon emission costs, resulting in the hydrogen refueling network being unable to meet future demand and high construction costs.

Method used

A hydrogenation network node site selection method based on hydrogen source diversity is adopted. The site selection decision is optimized through genetic algorithm and target solver. The interaction between upper and lower decision-making levels is combined to generate the optimal site selection decision information, taking into account driving satisfaction and cost parameters.

Benefits of technology

It has achieved effective carbon emission reduction of the hydrogen refueling network, reduced the mileage anxiety of driving users, optimized the balance between hydrogen refueling station site selection and hydrogen vehicle refueling behavior, and improved the resilience and construction cost-effectiveness of the hydrogen refueling network.

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Abstract

The present application relates to a hydrogenation network node site selection method and service platform based on hydrogen source diversity, the method comprising: determining the planned number of oil and hydrogen stations to be sited in a target area and hydrogen vehicle traffic flow parameters on a plurality of target driving routes, generating corresponding first site selection decision information based on the planned number and the hydrogen vehicle traffic flow parameters; after receiving the hydrogenation decision information currently corresponding to each target driving route, updating the first site selection decision information using a preset genetic algorithm and the hydrogenation decision information to generate corresponding second site selection decision information, the hydrogenation decision information being solved using a solver based on a first objective function and the first site selection decision information; iterating the second site selection decision information based on the fitness of the second site selection decision information calculated based on the second objective function using a genetic algorithm and the corresponding hydrogenation decision information until the target site selection decision information is obtained, and determining a site selection result based on the target site selection decision information.
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