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- W4362682377 abstract "Uncertainties in the integrated energy system will bring challenges to its stable operation, hence a stochastic optimal scheduling model of electric-thermal-hydrogen integrated energy system (ETH-IES) with the goal of minimizing operation cost is established. In addition, Proton exchange membrane fuel cell (PEMFC), hydrogen storage tank and electrolyzer are introduced to the ETH-IES, so that its flexibility and economy can be improved. Furthermore, seagull optimization algorithm (SOA) is used to solve the proposed mixed integer nonlinear programming (MINLP) model. To verify the availability of the proposed strategy, simulation analysis is performed for a typical ETH-IES case and the results are compared with those of other algorithms. The results indicate that the proposed algorithm has better global convergence performance and the cost solved is lower than other algorithms, which verifies the benefits of SOA algorithm." @default.
- W4362682377 created "2023-04-08" @default.
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- W4362682377 date "2022-12-16" @default.
- W4362682377 modified "2023-09-30" @default.
- W4362682377 title "Stochastic Optimal Scheduling of Electric-Thermal-Hydrogen Integrated Energy System Based on Seagull Optimization Algorithm" @default.
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- W4362682377 doi "https://doi.org/10.1109/ic2ecs57645.2022.10087931" @default.
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