| 引用本文: | 李英量,郭飞燕,白博旭,等.基于用户出行与充能特性的电氢一体化站规划[J].电力系统保护与控制,2025,53(11):125-135. |
| LI Yingliang,GUO Feiyan,BAI Boxu,et al.Integrated station planning of electricity and hydrogen based on user travel and charging characteristics[J].Power System Protection and Control,2025,53(11):125-135 |
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| 摘要: |
| 在电-氢-交通耦合背景下，针对加氢站和充电站单独规划导致的资源利用率低、空间布局分散等问题，提出一种基于用户出行路径与充能特性的电氢一体化站选址规划模型。该模型通过分析新能源汽车用户的出行链特征，并利用改进Dijkstra算法预测电动汽车、氢能源汽车的差异化充能需求。构建以投资和用户成本最小为目标、综合用户与投资者的成本效益及电-氢能源转换为约束的融合路网出行特征的电氢一体化站规划模型，并采用Voronoi图划分结合粒子群算法对模型进行求解。以某市主城区为算例进行分析，通过对比不同规划条件下的设施布局效果，验证了所提模型在提升能源设施协同性方面的优势。研究结果表明该方法能够通过电氢一体化站的耦合充能分析，在降低用户出行成本的同时促进交通能源网络的弹性提升，为多能互补型充能设施的规划提供了兼顾技术可行性与经济合理性的解决方案。 |
| 关键词: 电氢一体化站 电-氢-交通耦合 出行链 电气化交通 交通-能源系统 |
| DOI：10.19783/j.cnki.pspc.240897 |
| 分类号: |
| 基金项目:陕西省自然科学基础研究计划项目资助(2024JC-YBMS-405)；西安市科技计划项目资助(24GXFW0071)；国家重点研发计划项目资助(2023YFC2810902) |
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| Integrated station planning of electricity and hydrogen based on user travel and charging characteristics |
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LI Yingliang1, GUO Feiyan1, BAI Boxu2, ZHU Qi1, YANG Yi1
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1. School of Electronic Engineering, Xi’an Shiyou University, Xi’an 710065, China;2. Shaanxi Aviation Electric Co., Ltd., Xi’an 710048, China
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| Abstract: |
| In the context of electric-hydrogen-transportation coupling, an electric-hydrogen integrated station siting planning model based on users’ travel paths and charging characteristics is proposed. This addresses the problems of low resource utilization and dispersed spatial layout caused by the separate planning of hydrogen refueling stations and charging stations. The model analyzes the travel chain characteristics of new energy vehicle users and predicts the differentiated charging demand of electric and hydrogen vehicles using the improved Dijkstra algorithm; constructs an electric-hydrogen integrated station planning model that integrates the travel characteristics of the road network with the goal of minimizing the investment and user costs. It also integrates the cost-effectiveness of the users and the investors, and the constraints on the conversion of electric and hydrogen energy, and adopts the Voronoi diagram particle swarm algorithm to solve the model. The main urban area of a city is used as an example for analysis, and the advantages of the proposed model in enhancing the synergy of energy facilities are verified by comparing the effect of facility layout in different planning conditions. The results of the study show that the method can promote the elasticity of the transportation energy network while reducing the travel cost of users through the coupled charging analysis of electric-hydrogen integrated stations, and provide a solution that takes into account the technical feasibility and economic reasonableness for the planning of multi-energy complementary charging facilities. |
| Key words: electro-hydrogen integrated station electricity-hydrogen-traffic coupling travel chain electrified transportation transportation-energy systems |
