Management of Voltage Flexibility from Inverter-Based Distributed Generation Using Multi-Agent Reinforcement Learning

Management of Voltage Flexibility from Inverter-Based Distributed Generation Using Multi-Agent Reinforcement Learning

The increase in the use of converter-interfaced generators (CIGs) in today’s electrical grids will require these generators both to supply power and participate in voltage control and provision of grid stability. At the same time, new possibilities of secondary QU droop control in power grids with a...

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Bibliographic Details
Main Authors: Nikita Tomin, Nikolai Voropai, Victor Kurbatsky, Christian Rehtanz
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Energies
Subjects:
voltage flexibility
droop control
multiagent reinforcement learning
hosting capacity
active distribution system
microgrid
Online Access:https://www.mdpi.com/1996-1073/14/24/8270

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