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Computational modeling study demonstrates rapid convergence and lower emissions in an integrated energy park, suggesting viable operational decarbonization.
The distributed energy supply system with efficient coupling of electric, hydrogen and thermal energy integrates the advantages of electricity, hydrogen, and thermal energy, which can significantly improve energy efficiency and reduce environmental pollution. In order to achieve the fine control of the model, a control model of the distributed energy supply system based on alternating direction multiplier method (ADMM) is proposed. According to the characteristics of multi-agent electric-hydrogen-thermal system, a double-layer optimal scheduling model is developed, and the adaptive alternating direction multiplier method is proposed to solve it. The experiment results show that the iteration times of the proposed algorithm fluctuate around 43. When the sample size was 40,000 times, the average iteration time of the model was 0.11 s, respectively, showing a relatively stable performance. The total carbon emission reduction of the energy system in the experimental park reached 4.53 tons within 24 hours, and the corresponding carbon trading income was 546.18 yuan. The results verify the applicability and potential of the model in both environmental and economic win-win aspects, and provide an important theoretical and practical reference for optimizing distributed energy management and promoting low-carbon transition.
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Zhang et al. (2025) studied this question.
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