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ORIGINAL RESEARCH article

Front. Energy Res.
Sec. Energy Storage
Volume 12 - 2024 | doi: 10.3389/fenrg.2024.1428303
This article is part of the Research Topic Optimization and Data-driven Approaches for Energy Storage-based Demand Response to Achieve Power System Flexibility View all 16 articles

A Multi-agent optimal operation methodology of electric, thermal, and hydrogen integrated energy system based on ADMM algorithm

Provisionally accepted
Dongxu Zhou Dongxu Zhou 1*Jingzhou Xu Jingzhou Xu 1*Can Zhang Can Zhang 1*Pengchao Wei Pengchao Wei 1*Guangsheng Pan Guangsheng Pan 2Zhongfan Gu Zhongfan Gu 2
  • 1 Other, Nanjing, China
  • 2 Southeast University, Nanjing, China

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

    This article presents a study on the distributed optimization operation method for micro-energy grid clusters within an electric, thermal, and hydrogen integrated energy system. The research focuses on precisely modeling the Power-to-Hydrogen (P2H) conversion process in electrolytic cells by considering their startup characteristics. An optimization operation model is established, with each micro-energy grid as the principal entity, to cater to their individual interests and demands. The Alternating Direction Method of Multipliers (ADMM) algorithm is adopted for distributed solution.Case studies demonstrate that the connection topology between micro-energy grids significantly impacts the total operating cost, and the effectiveness of the ADMM algorithm is validated through a comparison with centralized optimization approaches.

    Keywords: Power-to-hydrogen, Integrated energy system, multi-agent optimal operation, Alternating Direction Method of Multipliers, Electrolytic hydrogen

    Received: 06 May 2024; Accepted: 16 Aug 2024.

    Copyright: © 2024 Zhou, Xu, Zhang, Wei, Pan and Gu. 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:
    Dongxu Zhou, Other, Nanjing, China
    Jingzhou Xu, Other, Nanjing, China
    Can Zhang, Other, Nanjing, China
    Pengchao Wei, Other, Nanjing, China

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