LOW-CARBON ECONOMIC DISPATCH OF MULTI-ENERGY SUPPLY SYSTEM IN HYDROGEN ENERGY INDUSTRIAL PARK BASED ON NSGA-&#x02162; ALGORITHM

Zhang Jinliang; Liu Yishuo

doi:10.19912/j.0254-0096.tynxb.2024-1939

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (3) : 564-574. DOI: 10.19912/j.0254-0096.tynxb.2024-1939

LOW-CARBON ECONOMIC DISPATCH OF MULTI-ENERGY SUPPLY SYSTEM IN HYDROGEN ENERGY INDUSTRIAL PARK BASED ON NSGA-Ⅲ ALGORITHM

Zhang Jinliang, Liu Yishuo

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Abstract

In order to ensure the safe and economic operation of hydrogen industrial parks, a co-optimized scheduling model of electric-heat-cool-gas-hydrogen multi-energy cogeneration system that takes into account the uncertainty of wind and photovoltaic power output and the demand response of hydrogen load is established. Firstly, based on the Green Hydrogen Industrial Park, a typical park-level electricity-heat-cooling-gas-hydrogen multi-energy cogeneration system architecture is proposed, and a model including electric-hydrogen coupling as well as electric-heat-cooling triple-supply system is established from the perspectives of the system’s source-grid-load-storage. Secondly, a multi-objective function is established, and the NSGA-III algorithm combined with Pareto frontier optimisation is used for the co-optimised scheduling of the MECS in hydrogen industrial parks with the objectives of achieving the minimum overall operating cost, the maximum energy utilisation rate, and the minimum carbon emissions in the park. Finally, the uncertainty of the wind and photovoltaic output is simulated by the Latin hypercube method and K-means clustering algorithm, and the optimal scheduling results in different scenarios are compared to verify the low-carbon and economic performance of the proposed model.

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genetic algorithm / optimal systems / integrated energy system / hydrogen storage / electricity-heat-cooling-gas-hydrogen coupling / uncertainty

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Zhang Jinliang, Liu Yishuo. LOW-CARBON ECONOMIC DISPATCH OF MULTI-ENERGY SUPPLY SYSTEM IN HYDROGEN ENERGY INDUSTRIAL PARK BASED ON NSGA-Ⅲ ALGORITHM[J]. Acta Energiae Solaris Sinica. 2026, 47(3): 564-574 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1939

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