刘佳玲, 秦博宇, 孙颖, 师文, 赵宇航, 周悦瑶. 面向清洁低碳转型的隧道智慧能源系统框架设计及储能容量优化配置[J]. 高电压技术, 2022, 48(7): 2563-2572. DOI: 10.13336/j.1003-6520.hve.20220823
引用本文: 刘佳玲, 秦博宇, 孙颖, 师文, 赵宇航, 周悦瑶. 面向清洁低碳转型的隧道智慧能源系统框架设计及储能容量优化配置[J]. 高电压技术, 2022, 48(7): 2563-2572. DOI: 10.13336/j.1003-6520.hve.20220823
LIU Jialing, QIN Boyu, SUN Ying, SHI Wen, ZHAO Yuhang, ZHOU Yueyao. Framework Design of Tunnel Intelligent Power System and Optimal Planning Method of Energy Storage Capacity for Low Carbon Transition[J]. High Voltage Engineering, 2022, 48(7): 2563-2572. DOI: 10.13336/j.1003-6520.hve.20220823
Citation: LIU Jialing, QIN Boyu, SUN Ying, SHI Wen, ZHAO Yuhang, ZHOU Yueyao. Framework Design of Tunnel Intelligent Power System and Optimal Planning Method of Energy Storage Capacity for Low Carbon Transition[J]. High Voltage Engineering, 2022, 48(7): 2563-2572. DOI: 10.13336/j.1003-6520.hve.20220823

面向清洁低碳转型的隧道智慧能源系统框架设计及储能容量优化配置

Framework Design of Tunnel Intelligent Power System and Optimal Planning Method of Energy Storage Capacity for Low Carbon Transition

  • 摘要: 长距离、大规模隧道运行过程中的能量密度远高于其他交通基础设施,隧道高能耗特性带来了高污染、高碳排等问题。为推动隧道清洁低碳转型,综合考虑储能灵活调节特性及隧道工程地下空间开发优势,提出一种隧道智慧能源系统框架及储能容量优化配置方法。首先,考虑多元电源互补、主动负荷协调、双向电能互动,构建隧道智慧能源系统框架,对比分析了地上/地下储能在土地资源集约利用、应对环境制约和储能故障危害等方面的优势和不足。其次,考虑储能容量规划和长大隧道智慧能源系统调度运行耦合影响,提出储能容量配置双层协同优化方法。最后,通过算例分析了所提隧道智慧能源系统框架和储能容量优化配置方法的可行性和有效性,对比验证了地下储能构建方案在经济、低碳和社会效益等方面的显著优势。

     

    Abstract: The energy consumption density of long- and large-scale tunnels is much higher than other transportation infrastructure. The high energy consumption characteristic causes high pollution and high carbon emission problems. Considering the regulation characteristics of energy storage and the underground space development foundation of tunnel projects, this paper designs a framework of tunnel intelligent power system and proposes an optimal planning method of energy storage capacity for low-carbon transition of tunnel power systems. First, the tunnel intelligent power system framework is designed based on multiple power complementation, active load coordination and two-way interaction between supply and demand. And by comparing the advantages and disadvantages of ground and underground energy storage schedules in intensive utilization of land resources, coping with environmental constraints and weakening the harm of energy storage failure, the construction scheme of underground energy storage is clarified. Then, a bi-level optimal planning method of energy storage capacity is proposed by analyzing the coupling effect of energy storage capacity planning and tunnel intelligent power system dispatching strategy. Finally, the examples are adopted to analyze the effectiveness of proposed tunnel intelligent power system framework and optimal planning method of energy storage capacity, and the notable advantages of underground energy storage scheme in terms of economy, low carbon and social benefits are compared and verified.

     

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