Networked Multi-Agent Deep Reinforcement Learning Framework for the Provision of Ancillary Services in Hybrid Power Plants

Networked Multi-Agent Deep Reinforcement Learning Framework for the Provision of Ancillary Services in Hybrid Power Plants

Inverter-based resources (IBRs) are becoming more prominent due to the increasing penetration of renewable energy sources that reduce power system inertia, compromising power system stability and grid support services. At present, optimal coordination among generation technologies remains a signific...

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Bibliographic Details
Main Authors: Muhammad Ikram, Daryoush Habibi, Asma Aziz
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Energies
Subjects:
multi-agent deep reinforcement learning
soft actor–critic
hybrid power plants
optimal dispatch
ancillary services
frequency control
Online Access:https://www.mdpi.com/1996-1073/18/10/2666
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