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ORIGINAL RESEARCH article

Front. Energy Res.
Sec. Sustainable Energy Systems
Volume 12 - 2024 | doi: 10.3389/fenrg.2024.1410120
This article is part of the Research Topic Optimal Scheduling of Demand Response Resources In Energy Markets For High Trading Revenue and Low Carbon Emissions View all 15 articles

Research on the optimal scheduling strategy of the integrated energy system of electricity to hydrogen under the stepped carbon trading mechanism

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

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

    Under the guidance of energy-saving and emission reduction goals, a low-carbon economic operation method for integrated energy systems(IES) has been proposed. This strategy aims to enhance energy utilization efficiency, bolster equipment operational flexibility, and significantly cut down on carbon emissions from the IES. Firstly, a thorough exploration of the two-stage operational framework of Power-to-Gas (P2G) technology is conducted. Electrolyzers, methane reactors, and hydrogen fuel cells (HFCs) are introduced as replacements for traditional P2G equipment, with the objective of harnessing the multiple benefits of hydrogen energy. Secondly, a cogeneration and HFC operational strategy with adjustable heat-to-electricity ratio is introduced to further enhance the IES's low-carbon and economic performance. Finally, a step-by-step carbon trading mechanism is introduced to effectively steer the IES towards carbon emission control.

    Keywords: Integrated energy system, electric hydrogen production, stepped carbon trading mechanism, energy efficiency, Optimize scheduling

    Received: 31 Mar 2024; Accepted: 30 Jul 2024.

    Copyright: © 2024 Xu, Zhao, Yu, Zhang, Wan, Li and Liu. 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

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