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Abstract
With the increasing utilization of renewable energy sources, hydrogen production from complementary wind and solar (HPCWS) systems has become a part of the construction of the integrated energy system (IES). However, renewable energy generation faces uncertainty; in addition, the IES lacks model representation. To solve this problem, this study proposes a carbon day-ahead optimal dispatch model for an integrated energy system with HPCWS and establishes carbon equations for conventional power generation and natural gas. The demand-side response of the IES is considered in conjunction with the objective functions of low-carbon operation and hydrogen storage gain maximization; furthermore, constraints are established to keep the dispatch results of the equipment within reasonable limits. Secondly, the scheduling model requires a faster and more accurate solution algorithm, so an improved particle swarm algorithm is proposed to solve the minimum of the objective function, and the superior convergence speed and accuracy of the algorithm are verified. The comparison of the IES before and after the introduction of HPCWS yields the changes in carbon emission values and hydrogen production before and after the optimization for the respective seasons and scenarios. In addition, the article also discusses the effect of season on the optimization results.
Published Version
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