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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Detalhes bibliográficos

Principais autores:	Linfei YIN, Yongzi YE, Xiaoshun ZHANG
Formato:	Artigo
Idioma:	Chinês
Publicado em:	Editorial Department of Electric Power Engineering Technology 2026-05-01
Colecção:	电力工程技术
Assuntos:	hierarchical distributed optimization multi-objective optimization algorithm deep neural network (dnn) running time cost and carbon emissions computing speed
Acesso em linha:	https://doi.org/10.12158/j.2096-3203.2026.05.003
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