<?xml version="1.1" encoding="utf-8"?>
<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">ETQM</journal-id><journal-title-group><journal-title>Engineering Technology and Quality Management</journal-title></journal-title-group><issn>2995-3170</issn><eissn>2992-9806</eissn><publisher><publisher-name>Art and Technology</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.61369/ETQM.9088</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>加氢站选址的双层规划模型</title><url>https://artdesignp.com/journal/ETQM/3/1/10.61369/ETQM.9088</url><author>徐晨瑜</author><pub-date pub-type="publication-year"><year>2025</year></pub-date><volume>3</volume><issue>1</issue><history><date date-type="pub"><published-time>2025-01-20</published-time></date></history><abstract>本研究旨在开发一种双层规划模型，以优化加氢站的选址问题，特别是针对公路应用场景中的氢能重型卡车。在上层，考虑了加氢站的建设规划者，目标是最大化覆盖的卡车数量和最小化建设和运营成本。在下层，考虑了氢能重型卡车的用户，目标是最小化行驶距离和加氢时间。通过整合这两个层次，模型能够同时考虑规划者和用户的需求，从而达到全局最优。还通过一个实际案例来验证了模型的有效性，并进行了敏感性分析。结果表明，模型不仅可以有效地解决加氢站的选址问题，而且还可以为政策制定者和实践者提供有价值的洞见。</abstract><keywords>加氢站，双层规划模型，清洁能源，氢能重型卡车</keywords></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>[1] 中国氢能联盟白皮书课题组．2019 年中国加氢设施发展报告［R］．[2] 凌文，刘玮，李育磊，等．中国氢能基础设施产业发展战略研究［J］．中国工程科学，2019:21(3):76-77.[3] 封利利，段志洁，郭岳，等．210 L 商用车储氢瓶失效动力学仿真研究［J］．自动化应用．2024 ,65 (17)：101-107.[4] Church R, ReVelle C. The maximal covering location problem. Pap Reg Sci Assoc, 1974, 32: 101-118.[5] Lee S, Kim H, Kim B I, et al. Site and capacity selection for on-site production facilities in a nationwide hydrogen supply chain deployment plan. International Journal of Hydrogen Energy, 2024, 50: 968-987.[6] Ge&amp;ccedil;ici E, G&amp;uuml;ler M G, Bilgi&amp;ccedil; T. Multi-period planning of hydrogen refueling stations using flow data: A case study for Istanbul. International Journal of Hydrogen Energy, 2022, 47: 40138-40155.[7] 江岳文，杨国铭，朱振山．考虑交通流量捕获的风-氢- 电耦合网络规划［J］．电力系统自动化，2021,45(22):19-28.[8] Mu Y, Wu J, Ekanayake J, et al. Primary frequency response from electric vehicles in the Great Britain power system［J］．IEEE Transactions on Smart Grid, 2013,4(2):1142-50.[9] Giannoccaro I, Pontrandolfo P. Supply chain coordination by revenue sharing contracts［J］．International journal of production economics, 2002, 89(2):131-9.[10] Gao Z, Sun H, Shan LL. A continuous equilibrium network design problem in rail transit planning［J］．Transportation Research Part B: Methodological, 2004,38(10):903-20.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
