A Supply Chain Coordination Control Method for New Energy Grid Connected Power Systems Based on Data Analysis
Le résumé fourni par la source
Renewable energy variability and unpredictability hinder supply chain coordination in grid-connected systems; thus, a data-based control approach is designed. All-phase Fourier transform is applied to extract features of renewable generation for enhanced decision making with supply chain data. The transportation, inventory, and demand constraints are considered in a coordination model that is solved by an enhanced PSO incorporating adaptive inertia weight, boundary control, and diversity preservation. Evaluated on IEEE 30-bus with 3000 samples, it achieves 98.2% reliability, 5.6% efficiency gain and 0.22s delay reduction.
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