Energy storage day-ahead scheduling to reduce grid energy export and increase self-consumption for micro-grid and small power park applications

Abstract

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Model-Free Non-Invasive Health Assessment for Battery Energy Storage Assets

“…This often results in large forecasting errors, which in turn introduce uncertainty in the system, thus making it difficult and demanding to plan the BES regime. To capture and demonstrate the identification of maloperation, a BES of 10 kWh was assumed, with a naïve persistence generation forecast and a day ahead Gradient Boost Machine forecast for the demand [83]. This scenario has been designed to capture frequent instances of maloperation due to the excess of the generation with respect to demand.…”