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ORIGINAL RESEARCH article

Front. Energy Res.
Sec. Process and Energy Systems Engineering
Volume 12 - 2024 | doi: 10.3389/fenrg.2024.1413533
This article is part of the Research Topic Process and Energy Systems Engineering: Advances in Modeling and Technology View all 6 articles

Research on the optimal allocation method of hydrogen energy storage in an integrated energy system considering the characteristics of hydrogen production

Provisionally accepted
Minghu Xu Minghu Xu 1*Deren Zhao Deren Zhao 1*Changle Yu Changle Yu 1*Su Zhang Su Zhang 1*Jia Wan Jia Wan 1*Wenwen Li Wenwen Li 1*Heshen Du Heshen Du 2
  • 1 State Grid Liaoning Electric Power Co., Ltd. Skills Training Center, jinzhou, China
  • 2 Shenyang University of Technology, Shenyang, China

The final, formatted version of the article will be published soon.

    Wind and solar curtailment is a major problem in the rapid development of new energy, which can be effectively solved by adopting a comprehensive energy architecture and developing multiple conversion technologies. This paper focuses on the integrated energy system (IES) with water electrolysis to hydrogen production technology as the core. Based on the analysis of the operating characteristics and mathematical modeling of the water electrolysis device, a two-layer optimization model of the hydrogencoupled IES was proposed. The optimal capacity of hydrogen energy storage is obtained by using the datadriven double-layer mixed integer nonlinear optimization (DOMINO) algorithm as the solution method,taking the optimal operation problem of IES with hydrogen coupling as the lower-level optimization problem, and the capacity optimization of hydrogen energy storage as the upper-level optimization problem. Finally, through simulation analysis, the convergence of the algorithm and the optimal hydrogen capacity are analyzed.

    Keywords: IES, Hydrogen production efficiency, Double-layer optimization problem, domino algorithm, Capacity configuration

    Received: 10 Apr 2024; Accepted: 11 Jun 2024.

    Copyright: © 2024 Xu, Zhao, Yu, Zhang, Wan, Li and Du. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Minghu Xu, State Grid Liaoning Electric Power Co., Ltd. Skills Training Center, jinzhou, China
    Deren Zhao, State Grid Liaoning Electric Power Co., Ltd. Skills Training Center, jinzhou, China
    Changle Yu, State Grid Liaoning Electric Power Co., Ltd. Skills Training Center, jinzhou, China
    Su Zhang, State Grid Liaoning Electric Power Co., Ltd. Skills Training Center, jinzhou, China
    Jia Wan, State Grid Liaoning Electric Power Co., Ltd. Skills Training Center, jinzhou, China
    Wenwen Li, State Grid Liaoning Electric Power Co., Ltd. Skills Training Center, jinzhou, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.