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• W4310521395 abstract "In photovoltaic-battery energy storage systems (PV-BESSs), the optimal power dispatch between the power sources (PV, battery, and the grid) and the load demand is significant, from the viewpoint of system efficiency and household profit. In this paper, a method that considers the time-of-use pricing (TOU) of electricity, the PV feed-in-tariff, and battery lifetime is proposed for the optimal power dispatch of grid-connected PV-BESS systems during a 24-hour period. The proposed method is implemented for a residential PV-battery system using the genetic algorithm (GA) and real TOU electricity pricing data and PV feed-in-tariff data of London, ON, Canada. Simulation results show how the proposed method can result in the optimal power dispatch in the system and how user profit can be maximized." @default.
• W4310521395 created "2022-12-11" @default.
• W4310521395 creator A5041411646 @default.
• W4310521395 creator A5065179860 @default.
• W4310521395 date "2022-10-09" @default.
• W4310521395 modified "2023-10-16" @default.
• W4310521395 title "A Multi-Parameter Approach to Optimal Power Dispatch in Grid-Connected Photovoltaic-Battery Systems" @default.
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• W4310521395 doi "https://doi.org/10.1109/ecce50734.2022.9948154" @default.
• W4310521395 hasPublicationYear "2022" @default.
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