周欣,陈顺,谭洪,陈代才,冉勐纮
ZHOU Xin,CHEN Shun,TAN Hong,CHEN Daicai,RAN Menghong

• 1:国网江西省电力有限公司九江供电分公司
• 2:三峡大学电气与新能源学院
• 3:国网湖北省电力有限公司利川市供电公司

摘要(Abstract)：

为提高现场制氢HFS（加氢站）的运营收益，提出考虑电能量-备用-氢能耦合市场环境的加氢站双层随机优化模型。上层为HFS参与电能量、备用、氢能耦合日前市场及平衡市场的投标报价模型。下层为两阶段出清模型：第一阶段是在已知各市场主体的投标报价信息后，开展能量、氢能、备用市场联合出清；第二阶段是针对不同负荷偏差场景下平衡市场出清。此外，设计了基于对偶理论与KKT（卡罗需-库恩-塔克）条件转化的混合整数线性规划均衡求解算法。仿真分析表明，备用以及平衡市场的参与大大增加了HFS的收益。
To enhance the operational revenue of on-site hydrogen production hydrogen refueling stations(HFS), a bi-level stochastic optimization model is proposed, considering the electric energy-reserve-hydrogen coupling market environment. The upper-level model represents the bidding strategy of the HFS in the day-ahead electric energy, reserve, and hydrogen coupling markets, as well as the balancing market. The lower-level model comprises a twostage clearing process: the first stage involves joint clearing of the energy, hydrogen, and reserve markets based on known bidding information of market participants; the second stage handles balancing market clearing under various load deviation scenarios. Additionally, a mixed-integer linear programming equilibrium-solving algorithm is designed based on duality theory and the Karush-Kuhn-Tucker(KKT) conditions. Simulation results demonstrate that participation in reserve and balancing markets significantly increases the revenue of the HFS.

关键词(KeyWords)： 加氢站;多能耦合市场;氢能市场;双层优化;联合出清
HFS;multi-energy coupling market;hydrogen energy market;bi-layer optimization;joint clearing

Abstract:

Keywords:

基金项目(Foundation): 湖北省自然科学基金创新发展联合基金项目（2024AFD350）

作者(Author): 周欣,陈顺,谭洪,陈代才,冉勐纮
ZHOU Xin,CHEN Shun,TAN Hong,CHEN Daicai,RAN Menghong

DOI: 10.19585/j.zjdl.202504004

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