陈明健, 陈胜, 卫志农, 孙国强, 周亦洲. 考虑季节性储氢的电-气-氢混联综合能源系统优化调度[J]. 电网技术, 2025, 49(1): 32-40. DOI: 10.13335/j.1000-3673.pst.2024.0053
引用本文: 陈明健, 陈胜, 卫志农, 孙国强, 周亦洲. 考虑季节性储氢的电-气-氢混联综合能源系统优化调度[J]. 电网技术, 2025, 49(1): 32-40. DOI: 10.13335/j.1000-3673.pst.2024.0053
CHEN Mingjian, CHEN Sheng, WEI Zhinong, SUN Guoqiang, ZHOU Yizhou. Optimal Dispatch of Electricity-gas-hydrogen Hybrid Integrated Energy System Considering Seasonal Hydrogen Storage[J]. Power System Technology, 2025, 49(1): 32-40. DOI: 10.13335/j.1000-3673.pst.2024.0053
Citation: CHEN Mingjian, CHEN Sheng, WEI Zhinong, SUN Guoqiang, ZHOU Yizhou. Optimal Dispatch of Electricity-gas-hydrogen Hybrid Integrated Energy System Considering Seasonal Hydrogen Storage[J]. Power System Technology, 2025, 49(1): 32-40. DOI: 10.13335/j.1000-3673.pst.2024.0053

考虑季节性储氢的电-气-氢混联综合能源系统优化调度

Optimal Dispatch of Electricity-gas-hydrogen Hybrid Integrated Energy System Considering Seasonal Hydrogen Storage

  • 摘要: 新能源电力系统的季节性电量不平衡,为电网长短期协同调度带来挑战。为此,该文以电-气-氢多能耦合为载体,提出一种考虑季节性储氢的综合能源系统长短期协同优化调度模型。首先,基于时间序列分解和场景聚类方法获取丰能季和枯能季的典型场景;然后,基于电网直流潮流模型和掺氢天然气准动态流量/能量模型,构建电-气-氢混联综合能源系统运行模型;针对混氢-天然气高维非凸非线性方程,提出基于逐次二阶锥松弛的凸能流模型,实现了综合能源系统协同优化模型的高效精准求解;最后,通过算例分析验证所提模型的经济性和求解方法的可行性,并剖析了季节性储氢下的电-气-氢多能耦合情况。仿真结果显示,相比传统电-气耦合系统,所提模型的运行成本降低了6.43%。

     

    Abstract: dominant power system results in long-term and short-term coordinated scheduling challenges. Therefore, an optimal scheduling model of an electricity-gas-hydrogen hybrid integrated energy system considering seasonal hydrogen storage is proposed based on electricity-gas-hydrogen coupling. First, typical scenarios in high- and low-energy seasons are obtained based on time series decomposition and scene clustering method. Then, the operation model of the electricity-gas-hydrogen hybrid integrated energy system is developed based on the DC power flow model of the power system, and the quasi-dynamic natural-gas flow model considers green hydrogen injections. Moreover, sequential second-order cone programming is proposed to efficiently deal with nonlinear constraints in the gas flow model. Finally, numerical results verify the proposed model's economy and the solution method's feasibility. The multi-energy coupling relationship between electricity, gas, and hydrogen under seasonal hydrogen storage is also analyzed. Simulation results show that the operating cost of the proposed model is reduced by 6.43% compared with that obtained from traditional electricity-gas systems.

     

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