Hierarchical distributed multi-objective optimization dispatching for power systems based on deep learning acceleration

With the increasing scale of the power system, the existing distributed optimization dispatching method has the defects of slow calculation speed and poor optimization effect. To address this issue, a hierarchical distributed acceleration optimization method is proposed. Firstly, considering the obj...

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מידע ביבליוגרפי

Principais autores:	Linfei YIN, Yongzi YE, Xiaoshun ZHANG
פורמט:	Artigo
שפה:	Chinês
יצא לאור:	Editorial Department of Electric Power Engineering Technology 2026-05-01
סדרה:	电力工程技术
נושאים:	hierarchical distributed optimization multi-objective optimization algorithm deep neural network (dnn) running time cost and carbon emissions computing speed
גישה מקוונת:	https://doi.org/10.12158/j.2096-3203.2026.05.003
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