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2026, 02, v.24 130-142
区域差异下高速公路服务区光伏系统优化配置
基金项目(Foundation): 国家自然科学基金项目(71871015)
邮箱(Email): ghsong@bjtu.edu.cn;
DOI: 10.19961/j.cnki.1672-4747.2025.09.020
发布时间: 2025-11-17
出版时间: 2025-11-17
网络发布时间: 2025-11-17
移动端阅读
摘要:

【背景】高速公路服务区作为交通能源补给和消费的重要节点,其绿色低碳转型对于实现交通领域的碳达峰碳中和目标尤为关键。【目标】评估高速公路服务区光伏发电潜力,进行光伏系统优化配置研究,实现能源自洽率(即降低系统对外部电网的净依赖程度)最大和运行经济性最优。【方法】首先构建结合气候分区与多场景安装特性的光伏发电潜力评估模型,随后建立以经济性最优和能源自洽率最高为双目标的混合整数线性规划(MILP)优化模型,统筹考虑光伏发电、储能系统、充电负荷与常规用电之间的时空耦合关系。【数据】选取全国34个省级行政区的太阳辐射资源分布特征与气象数据、高速公路服务区常规用能数据及电动汽车充电负荷数据。【结果】在可允许的最优光伏配置下,系统自洽率可达73.8%,年总成本降低17.7%。【结论】证实了高速公路服务区通过光伏系统优化配置可实现较高的能源自洽率与显著的经济效益,为不同资源区的服务区低碳化建设提供了区域性的规划参考与决策依据。

Abstract:

[Background] Highway service areas, as critical nodes for energy supply and consumption in transportation, play a vital role in achieving carbon peak and neutrality goals in the transport sector. [Objective] This study aimed to assess the photovoltaic power generation potential and optimize the system configuration for highway service areas, with the goal of maximizing the energy self-sufficiency rate and operational economy. [Method] A photovoltaic potential assessment model integrating climate zoning and multi-scenario installation characteristics was developed, followed by a mixed-integer linear programming optimization model that coordinated photovoltaic generation, energy storage systems, charging loads, and conventional electricity consumption. [Data] The analyses utilized solar radiation resource distribution characteristics and meteorological data from 34 provincial-level administrative regions, along with conventional energy usage and electric vehicle charging load data from highway service areas. [Result] Under the optimal configuration, the system achieved a 73.8% self-sufficiency rate and reduced annual total costs by 17.7%. [Conclusion] Optimized photovoltaic system configurations can achieve high energy self-sufficiency and significant economic benefits, providing a regional reference and decision-making basis for the low-carbon construction of service areas in different resource zones.

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基本信息:

DOI:10.19961/j.cnki.1672-4747.2025.09.020

中图分类号:U491.8;TM615

引用信息:

[1]刘颖,许斯萌,陈瑜航,等.区域差异下高速公路服务区光伏系统优化配置[J].交通运输工程与信息学报,2026,24(02):130-142.DOI:10.19961/j.cnki.1672-4747.2025.09.020.

基金信息:

国家自然科学基金项目(71871015)

发布时间:

2025-11-17

出版时间:

2025-11-17

网络发布时间:

2025-11-17

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