苏小玲, 陈来军, 赵超凡, 曹博文, 刘立泽. 计及能源自洽率和共享氢储能的电-氢-交通耦合配电网低碳经济运行[J]. 高电压技术, 2024, 50(6): 2424-2432. DOI: 10.13336/j.1003-6520.hve.20231381
引用本文: 苏小玲, 陈来军, 赵超凡, 曹博文, 刘立泽. 计及能源自洽率和共享氢储能的电-氢-交通耦合配电网低碳经济运行[J]. 高电压技术, 2024, 50(6): 2424-2432. DOI: 10.13336/j.1003-6520.hve.20231381
SU Xiaoling, CHEN Laijun, ZHAO Chaofan, CAO Bowen, LIU Lize. Low Carbon Economic Dispatch for Electricity Hydrogen Transport Coupling Network Considering Self-sufficiency and Shared Hydrogen Storage[J]. High Voltage Engineering, 2024, 50(6): 2424-2432. DOI: 10.13336/j.1003-6520.hve.20231381
Citation: SU Xiaoling, CHEN Laijun, ZHAO Chaofan, CAO Bowen, LIU Lize. Low Carbon Economic Dispatch for Electricity Hydrogen Transport Coupling Network Considering Self-sufficiency and Shared Hydrogen Storage[J]. High Voltage Engineering, 2024, 50(6): 2424-2432. DOI: 10.13336/j.1003-6520.hve.20231381

计及能源自洽率和共享氢储能的电-氢-交通耦合配电网低碳经济运行

Low Carbon Economic Dispatch for Electricity Hydrogen Transport Coupling Network Considering Self-sufficiency and Shared Hydrogen Storage

  • 摘要: 新型储能的多元化发展为能源资源的优化配置和就地高水平消纳奠定了基础,为此提出了一种计及能源自洽率和共享氢储能(shared hydrogen storage,SHS)的能源网低碳经济调度方法。设计了包含电负荷-氢负荷的氢燃料电池车(hydrogen fuel cell vehicle,HFCV)交通网与新能源配电网双向耦合架构。在此基础上,以提高能源自洽率、降低碳排放成本为目标,综合考虑配电网、交通网、氢储能系统的运行约束条件以及短期氢储能(short-term hydrogen storage,STHS)和SHS服务,建立了电-氢-交通耦合配电网的低碳经济优化调度模型,并给出了基于精英遗传算法(elitist strategy genetic algorithm,ESGA)的求解方法。算例分析证明,提出的方法可有效提升电-氢-交通耦合网络能源自洽率、降低整体系统碳排放成本。

     

    Abstract: With the diversified development of new energy storage system, new energy optimization allocation and local consumption is facing new opportunity. This paper proposes a low-carbon economic dispatching method for distribution networks considering self-sufficiency and shared hydrogen storage (SHS). Firstly, a bidirectional coupling architecture of new-energy based distribution network and hydrogen fuel cell vehicle (HFCV) transport network is designed. Then, with the optimization objectives of improving energy self-consistency rate and reducing carbon emission costs, the low-carbon economic optimization dispatching model for electricity hydrogen transport coupling network is established considering operational constraints of distribution network, transportation network and hydrogen storage system as well as the short-term hydrogen storage (STHS) and SHS service, and a solution method based on elitist strategy genetic algorithm (ESGA) is given. Finally, feasibility and effectiveness of the proposed method in improving energy self-consistency rate and reducing carbon emission cost are verified by simulation of arithmetic cases.

     

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