Two-layer energy management strategy for grid-integrated multi-stack power-to-hydrogen station

被引:7
|
作者
Li, Jiarong [1 ]
Yang, Bosen [1 ]
Lin, Jin [1 ]
Liu, Feng [1 ]
Qiu, Yiwei [2 ]
Xu, Yanhui [3 ]
Qi, Ruomei [1 ]
Song, Yonghua [1 ,4 ]
机构
[1] Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China
[2] Sichuan Univ, Coll Elect Engn, Chengdu 610065, Sichuan, Peoples R China
[3] North China Elect Power Univ, State Key Lab Alternate Elect Power Syst Renewable, Beijing 102206, Peoples R China
[4] Univ Macau, State Key Lab Internet Things Smart City, Taipa 999078, Macao, Peoples R China
基金
中国博士后科学基金;
关键词
Multi-stack; Power-to-hydrogen; Power factor; Energy management strategy; OF-THE-ART; SYSTEM; ELECTROLYZERS; CELL;
D O I
10.1016/j.apenergy.2024.123413
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Large-scale power-to-hydrogen (P2H) stations with multi-stack configurations, are emerging as valuable flexible resources for the power grid. The energy management strategy (EMS) determines multi-stack operation statuses. Nonetheless, existing EMS focus on production without adequately addressing the implications for grid-side power factor (PF) and potential security concerns. This paper addresses this limitation by presenting a model that characterizes the PF of a multi-stack P2H system across varying operation statuses defined by current and temperature. Through this model, we highlight a clear trade-off between the PF constraint and production targets in multi-stack scheduling. Subsequently, we introduce an improved EMS framework for multi-stack P2H that seeks a balance between PF, production, and security. This EMS is organized as a two-layer execution structure to guarantee control accuracy and tractability, which includes a model-based robust multi-stack scheduling programming and a rule-based real-time increment correction algorithm in series. Case studies compare multi-stack scheduling strategies under the proposed EMS with the traditional production-oriented strategy. The effectiveness of the extended PF and security dimensions is verified to comprehensively improve the responsiveness to power instructions. Furthermore, we outline five representative cluster-level scheduling strategies aligned with different load scenarios, offering insights for practical industrial implementations.
引用
收藏
页数:13
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