Optimal Dispatch of Electric-Hydrogen-Transport Coupling for Offshore Island Based on Improved Dung Beetle Optimizer

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Yibo Liu, Yirui Wang ,Qianfei Xu , Yuxuan He ,Supeng Wu

Abstract

There are abundant renewable energies in the region of offshore islands, and the progress of electrolytic hydrogen production and hydrogen storage technology has promoted the local consumption of distributed energy. This paper proposes a low carbon economic dispatching method for offshore islands, which takes into account self-sufficiency and shared hydrogen storage (SHS). Firstly, a bidirectional coupling framework of hydrogen fuel cell ship (HFCS) transportation network and island new energy system is designed. With the optimization objectives of reducing the operation cost of transportation network and ocean islands, improving the energy self-consistency rate and reducing the carbon emission cost, this paper comprehensively considers the operation constraints of new energy, marine transportation network, hydrogen energy Storage system and Short-term Hydrogen Storage on ocean islands. The coupling optimization dispatching model of low-carbon economy for offshore islands with STHS and SHS is established. On this basis, Improved Dung Beetle Algorithm (IDBO) is used to balance local optimization and global optimization capabilities by using the dung beetle action mutation strategy and reverse learning strategy based on population similarity. Finally, an improved IEEE 6-node system diagram is given to verify the feasibility of method for improving the self-consistency rate of new energy sources and reducing the cost of carbon emissions in offshore islands, and the effectiveness of the improved algorithm. 

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