Rishal Asri, Hirohisa Aki, Daisuke Kodaira
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. © 2023 Elsevier Ltd
Faculty of Engineering, Information and Systems, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8573, Japan; Energy System Engineering Study Program, Institut Teknologi Sumatera (ITERA), South Lampung, Lampung, 35365, Indonesia
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