Research on hydrogen station site selection and capacity planning based on an improved genetic algorithm

Abstract

Abstract As hydrogen fuel cell vehicles enter the public eye, it is necessary to develop reasonable hydrogen station layouts and capacity plans to predict and meet future hydrogen fuel demands. This article employs a classical flow capture model with the objectives of minimizing the unit cost of hydrogen station networks and maximizing the capture rate of regional traffic flows. Through the improvement of genetic algorithms for simulation, the study determines the location of hydrogen stations and calculates their corresponding scales. In the end, the hydrogen station network is obtained with a unit hydrogen cost of 11.60 yuan/kg and a traffic capture rate of 90.47%. The research results validate the effectiveness of the proposed model, providing a reference for the investment and construction of future hydrogen stations.