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• W4381487739 abstract "Solar photovoltaic generation and energy storage play an increasingly important role in supplying the electricity needs of remote areas. However, private energy storage systems are a significant encumbrance to consumers in remote areas. Moreover, communal energy storage has enormous economic constraints owing to the distance from remote areas. In this study, we propose a new model for shared energy storage using the Neighbor scenario, where each consumer can share an energy storage system with the nearest consumer. To validate the model, we propose three scenarios: Individual, Neighbor, and Communal. The system was designed as a mixed-integer linear programming (MILP) model to analyze optimal operational schemes. The results show that using the Neighbor scenario can save operating costs and increase the storage utilization rate by 6.15% and 2.65%, respectively, relative to the other scenarios. Finally, a sensitivity analysis is performed to demonstrate optimal operation in terms of economic and emission parameters." @default.
• W4381487739 created "2023-06-22" @default.
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• W4381487739 date "2023-09-01" @default.
• W4381487739 modified "2023-10-16" @default.
• W4381487739 title "Optimal operation of shared energy storage on islanded microgrid for remote communities" @default.
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• W4381487739 doi "https://doi.org/10.1016/j.segan.2023.101104" @default.
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