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- W4378977185 abstract "To achieve self-sustainability, microgrids opt for large penetration of renewables in a distribution system. Though the renewable generation is intermittent, the energy storage units and fuel based distributed generators (DGs) support to meet the demand. An increasing irregularity in energy consumption develops an unbalance between consumers and generation units which results in load shedding. In order to maximize the profit with optimum energy storage in a day ahead islanded microgrid energy management, this study presents an incentive control-based demand shifting strategy. The probability-based Hong’s 2m point estimate approximation approach is used to discuss demand predictions and the irregular nature of renewable energy sources. The evolutionary method is used for the restricted convex to determine the optimal load shifting (GA). Results show that the suggested method lowers the total cost fitness by 18.91%. To verify the efficacy and reliability of the procedure, the consistency of the operational parameters is compared with widely used methods." @default.
- W4378977185 created "2023-06-02" @default.
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- W4378977185 date "2023-03-18" @default.
- W4378977185 modified "2023-10-05" @default.
- W4378977185 title "A Day Ahead Demand Aggregation in Islanded Microgrid considering Uncertainty" @default.
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- W4378977185 doi "https://doi.org/10.1109/aisp57993.2023.10134788" @default.
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