翁菖宏, 胡志坚, 张承圣, 李想, 王放. 计及季节性氢储的新能源汽车供能站分布式规划模型[J]. 电力建设, 2022, 43(12): 37-46.
引用本文: 翁菖宏, 胡志坚, 张承圣, 李想, 王放. 计及季节性氢储的新能源汽车供能站分布式规划模型[J]. 电力建设, 2022, 43(12): 37-46.
WENG Chang-hong, HU Zhi-jian, ZHANG Cheng-sheng, LI Xiang, WANG Fang. Distributed Planning Model of Renewable Vehicle Energy Supply Station Considering Seasonal Hydrogen Storage[J]. Electric Power Construction, 2022, 43(12): 37-46.
Citation: WENG Chang-hong, HU Zhi-jian, ZHANG Cheng-sheng, LI Xiang, WANG Fang. Distributed Planning Model of Renewable Vehicle Energy Supply Station Considering Seasonal Hydrogen Storage[J]. Electric Power Construction, 2022, 43(12): 37-46.

计及季节性氢储的新能源汽车供能站分布式规划模型

Distributed Planning Model of Renewable Vehicle Energy Supply Station Considering Seasonal Hydrogen Storage

  • 摘要: 为了克服电力和交通系统的信息壁垒、改善新能源装置实际利用率低的困境,提出了一种计及季节性氢储的新能源汽车供能站分布式规划模型。首先,提出一种含冬-夏跨季节氢储的供能架构并对配电网、供能站、交通网的运行情况进行建模;接着,以经济性为目标建立电-交联合规划模型;然后,提出一种定制交替方向乘子法(alternating direction multiplier method, ADMM)实现供能系统和交通系统的分布式求解;最后,基于IEEE-33节点配电网和12节点典型交通网验证季节性氢储模型和分布式算法的有效性和先进性,并探讨了多种储能间的协同情况。

     

    Abstract: In order to overcome the information barrier of power-transportation system and improve the low utilization rate of renewable power generations, a distributed planning model of renewable vehicle energy supply system considering seasonal hydrogen storage is proposed in this paper. Firstly, an energy supply architecture including winter-summer cross-seasonal hydrogen storage is proposed, and the operation behaviors of distribution network, combined energy supply station, and transportation network are modeled. Secondly, an electric-transportation joint planning model is established with the goal of economy. Then, a tailored alternating direction multiplier methool(ADMM) is proposed to realize the distributed solution of energy supply system and transportation system. Finally, the validity and advancement of seasonal hydrogen storage model and distributed algorithm are verified based on IEEE 33-node power distribution network and 12-node typical transportation network, and the synergies among various storages are discussed.

     

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