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
相关论文
共 50 条
  • [21] Two-layer energy management strategy for renewable power-to-gas system-based microgrids
    Kumar, Kuldeep
    Bae, Sungwoo
    JOURNAL OF ENERGY STORAGE, 2023, 61
  • [22] Power adaptive control strategy for multi-stack PEM photovoltaic hydrogen systems considering electrolysis unit efficiency and hydrogen production rate
    Cheng, Kangle
    He, Shan
    Hu, Bing
    SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS, 2025, 75
  • [23] Minimum hydrogen consumption power allocation strategy for the multi-stack fuel cell (MFC) system based on a discrete approach
    Liang, YiFan
    Liang, QianChao
    Zhao, JianFeng
    He, JunNeng
    FRONTIERS IN ENERGY RESEARCH, 2022, 10
  • [24] Power Management in Three-Phase Grid-Integrated PV System with Hybrid Energy Storage System
    Jena, Chinmaya Jagdev
    Ray, Pravat Kumar
    ENERGIES, 2023, 16 (04)
  • [25] Strategy for battery energy storage participating in secondary frequency regulation of power grid based on two-layer coordinated control
    Xiao, Jiajie
    Li, Peiqiang
    Mao, Zhiyu
    Diao, Hanbin
    Liu, Kang
    Tu, Chunming
    Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2024, 44 (08): : 9 - 17
  • [26] Q-learning based energy management strategy for a hybrid multi-stack fuel cell system considering degradation
    Ghaderi, Razieh
    Kandidayeni, Mohsen
    Boulon, Loic
    Trovao, Joao P.
    ENERGY CONVERSION AND MANAGEMENT, 2023, 293
  • [27] Study on multi-power-level configuration scheme and scheduling strategy for multi-stack alkaline water electrolysis system in off-grid wind power scenario
    Ding, Shunliang
    Tian, Zeke
    Hu, Song
    Guo, Bin
    Yang, Hao
    Yang, Fuyuan
    Ouyang, Minggao
    ENERGY CONVERSION AND MANAGEMENT, 2024, 314
  • [28] A Two-Layer Control Strategy for the Participation of Energy Storage Battery Systems in Grid Frequency Regulation
    Zhang, Pan
    Xin, Shijin
    Wang, Yunwen
    Xu, Qing
    Chen, Chunsheng
    Chen, Wei
    Dong, Haiying
    ENERGIES, 2024, 17 (03)
  • [29] Two-layer optimal scheduling of integrated electric-hydrogen energy system with seasonal energy storage
    Liu, Xinghua
    Zu, Longyu
    Wei, Zhongbao
    Wang, Yubo
    Pan, Zhongmei
    Xiao, Gaoxi
    Jenkins, Nicholas
    INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2024, 82 : 1131 - 1145
  • [30] Grid Adaptive Power Management Strategy for an Integrated Microgrid With Hybrid Energy Storage
    Korada, Nikhil
    Mishra, Mahesh K.
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2017, 64 (04) : 2884 - 2892