A low-carbon trading strategy of multi-microgrid system considering electricity-hydrogen-carbon coupling characteristics
Nian Liu,
Jinwei Yan,
Lu Tan,
Xinhao Li,
Youxin Chen and
Kuan Zhang
Energy, 2025, vol. 327, issue C
Abstract:
In the context of low-carbon development in the power system, the hydrogen integrated multi-microgrids system (MMG) has become an important means of efficient multi-energy utilization and carbon emission reduction. This paper proposes an electricity-hydrogen trading strategy considering the energy-carbon coupling effect to promote the energy self-balance and low-carbon operation of the MMG. Firstly, the concept of carbon storage ratio (CSR) is proposed for energy storage (ES) equipment including electricity energy storage (EES) and hydrogen energy storage (HES) to uniformly quantify the equivalent carbon emission. Then, a carbon flow calculation method considering the CSR-based carbon emission flow indexes is developed to calculate the distribution of carbon emission flow within the MMG. Moreover, a low-carbon trading strategy of MMG considering electricity-hydrogen-carbon coupling characteristics is proposed to achieve low carbon and reliable operation, where the carbon emission cost related to CSR and carbon emission flow indexes is integrated into the dynamic trading process of electricity-hydrogen energy. A parallel and distributed consensus-based (PDC) algorithm is further designed to transform the complex MMG trading problem into multiple energy-autonomous sub-problems of each microgrid for the efficient solution. Comparative case studies demonstrate that the economic benefits of microgrids can be all improved while the carbon emission of MMG is reduced by 19.47 %.
Keywords: Multi-microgrid system; Electricity-hydrogen-carbon coupling; Electricity-hydrogen trading; Carbon emission flow; Carbon storage ratio (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:327:y:2025:i:c:s0360544225020626
DOI: 10.1016/j.energy.2025.136420
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