Robust economic scheduling model for virtual power plant considering electrolysis of molten carbonate and dynamic compensation mechanism

Jiaxing Wen, Rong Jia, Ge Cao, Yi Guo, Yang Jiao, Wei Li and Peihang Li

Energy, 2025, vol. 317, issue C

Abstract: In order to promote the low-carbon transformation of the energy industry, this study starts from the two paths of low-carbon policy and technology, and proposes the robust economic scheduling model of virtual power plant (VPP) considering electrolytic molten carbonate (EMC) and dynamic compensation mechanism. First, according to the technical principle of EMC and the multi-benefit of hydrogen energy, the VPP operation framework based on the collaboration of EMC-power to hydrogen-hydrogen fuel cell is built, and the dynamic compensation mechanism based on the refined flexible load satisfaction is proposed to stimulate the enthusiasm of users to participate in the demand response. Secondly, in order to deal with the uncertainty of source and load power, chance constraints are introduced on the basis of constructing the VPP two-stage robust optimization (RO) model to alleviate the problem that traditional RO is too conservative. Thirdly, taking the carbon trading parameters as the object, the parameter optimization layer is constructed outside the RO model to achieve adaptive parameter changes. Finally, through case analysis and comparison, it is proved that under the premise of ensuring robustness, the carbon emission is reduced by 2403.92 kg and the total cost including capital expenditure is reduced by 3781.16¥.

Keywords: Virtual power plant; Electrolytic molten carbonate technology; Dynamic compensation mechanism; Adaptive carbon trading; Robust optimization; Mitigation of climate change (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:317:y:2025:i:c:s036054422500338x

DOI: 10.1016/j.energy.2025.134696

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