Optimizing AC/DC microgrid scheduling with electro-hydrogen hybrid energy storage for low-carbon buildings

Addressing the urgent need for sustainable energy solutions in the built environment, this paper explores the integration of electro-hydrogen hybrid energy storage within AC/DC microgrids for low-carbon buildings. We construct a system model incorporating photovoltaic generation, diesel generators,...

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Bibliographic Details
Published in:	International journal of hydrogen energy Vol. 143; pp. 716 - 727
Main Authors:	Xie, Xingfeng, Quan, Xiangjun, Wu, Zaijun, Zeng, Fei, Miu, Huiyu, Yuan, Xiaodong
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.07.2025
Subjects:	AC/DC microgrids Electro-hydrogen hybrid energy storage Low-carbon buildings Mixed-integer linear programming (MILP) Mixed-integer quadratic programming (MIQP) Model predictive control Optimal scheduling AC/DC microgrids Model predictive control Mixed-integer linear programming (MILP) Low-carbon buildings Optimal scheduling Electro-hydrogen hybrid energy storage Mixed-integer quadratic programming (MIQP)
ISSN:	0360-3199
Online Access:	Get full text
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Summary:	Addressing the urgent need for sustainable energy solutions in the built environment, this paper explores the integration of electro-hydrogen hybrid energy storage within AC/DC microgrids for low-carbon buildings. We construct a system model incorporating photovoltaic generation, diesel generators, battery storage, and a hydrogen subsystem (proton exchange membrane fuel cell and electrolyzer), detailing their operating characteristics based on electrochemical principles. To manage this system efficiently using standard optimization solvers, a two-stage optimal scheduling method is proposed, formulated as Mixed-Integer Linear Programming (MILP) for day-ahead scheduling and Mixed-Integer Quadratic Programming (MIQP) for real-time Model Predictive Control (MPC). Comparative simulations across different scenarios demonstrate that incorporating the electro-hydrogen system significantly reduces total operating costs and pollutant emission costs. Furthermore, the proposed two-stage method yields lower costs than relying solely on day-ahead scheduling. The results affirm the potential of the proposed MILP/MIQP-based approach to enhance the operational economy and environmental performance of microgrids in low-carbon buildings. [Display omitted] •Models and optimizes AC/DC microgrid with electro-hydrogen hybrid storage.•Two-stage optimal scheduling validated for complex EH-HESS microgrid management.•Integrated EH-HESS & optimized scheduling sharply cut building operating costs.
ISSN:	0360-3199
DOI:	10.1016/j.ijhydene.2025.05.016