Optimal Reactive Power Dispatch in ADNs using DRL and the Impact of Its Various Settings and Environmental Changes

Modern active distribution networks (ADNs) witness increasing complexities that require efforts in control practices, including optimal reactive power dispatch (ORPD). Deep reinforcement learning (DRL) is proposed to manage the network’s reactive power by coordinating different resources, including...

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Detalles Bibliográficos
Autores principales: Zamzam, Tassneem, Shaban, Khaled, Massoud, Ahmed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10459375/
https://www.ncbi.nlm.nih.gov/pubmed/37631753
http://dx.doi.org/10.3390/s23167216

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10459375/
https://www.ncbi.nlm.nih.gov/pubmed/37631753
http://dx.doi.org/10.3390/s23167216

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