In light of these issues, this paper proposes a methodology for optimizing the power scheduling of a battery energy storage system, with the objectives of minimizing active power losses, smoothing the substation load curve, and enhancing voltage profiles. With the rapid integration of high-penetration renewable energy, its inherent uncertainty complicates power system day-ahead/intra-day scheduling, leading to challenges like wind curtailment and high operational costs. Existing methods either rely on inflexible physical models or use deep. This work models and discusses design options based on the hybrid power system of grid and battery storage. The effects of installed capacity on renewable penetration (RP) and cost of electricity (COE) are investigated for each modality. In day-ahead phase, model improves economic efficiency by considering of price values at its peak.
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