Simulation-Based Analysis of DRL Exploitation Rate for Voltage and Frequency Stability in a Single-Inverter Microgrid Control System

Simulation-Based Analysis of DRL Exploitation Rate for Voltage and Frequency Stability in a Single-Inverter Microgrid Control System

This paper discusses the development and performance evaluation of a single-inverter-based microgrid control system using a Deep Reinforcement Learning (DRL) agent trained with the Twin Delayed Deep Deterministic Policy Gradient (TD3) algorithm. The controller is specifically designed to address unp...

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Bibliographic Details
Main Authors: Noer Fadzri Perdana Dinata, Makbul Anwari Muhammad Ramli, Muhammad Irfan Jambak, Prisma Megantoro, Muhammad Abu Bakar Sidik
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Deep reinforcement learning (DRL)
frequency stability
microgrid
twin delayed deep deterministic policy gradient (TD3)
voltage stability
Online Access:https://ieeexplore.ieee.org/document/11039624/
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