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Capacity optimization configuration method for multi-microgrids with shared hydrogen storage based on improved multi-objective whale optimization algorithm
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DOI：10.3389/fenrg.2026.1658840.png)
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Abstract
En 中文
With the transformation and upgrading of the power system’s energy structure; the large-scale integration of high proportions of renewable energy has become a key trend in the development of the power grid. As an emerging form of energy storage; the electricity-hydrogen hybrid energy storage system can effectively mitigate fluctuations in renewable energy power generation by using electrolytic hydrogen production technology. However; renewable energy sources are geographically dispersed; leading to persistent power curtailment issues. Additionally; hybrid energy storage systems lack efficient capacity allocation methods and advanced scheduling strategies. These factors pose significant challenges to the operational reliability and economic efficiency of modern power grids. Therefore; this study proposes a capacity optimization configuration method for multi-microgrids with shared hydrogen storage. Firstly; based on the power and capacity constraints of each device within the electric-hydrogen hybrid energy storage microgrid; a control strategy for microgrid operation is designed. Secondly; an improved multi-objective whale optimization algorithm is employed to determine the capacity of energy storage and power generation equipment; and its effectiveness is validated. Lastly; the power flow characteristics of multiple microgrids are analyzed; and a cooperative operation control strategy for the multi-microgrid system with electric-hydrogen hybrid energy storage is proposed. The effectiveness and advantages of this method are demonstrated through case studies.
Keywords:
microgrid
shared hydrogen storage
capacity configuration
electric-hydrogen hybrid energy storage system
multi-objective whale optimization algorithm
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