April 2026

Conference Paper

Reinforcement Learning-Based Secondary Control Strategy for Voltage and Frequency Regulation in Islanded Inverter-Based Microgrids

By:
Rodriguez Martinez, Omar; Ferrari Maglia, Maximiliano F; Andrade, Fabio
Page Number:
1-5
Book Title:
2025 IEEE Power & Energy Society General Meeting (PESGM)
Publication Date:
April 16, 2026
Publisher Location:
IEEE, Texas, United States of America
Conference Name:
2025 IEEE Power & Energy Society General Meeting (PESGM)
Conference Location:
Austin, Texas., Texas, United States of America
Conference Sponsor:
IEEE
View DOI Listing:
https://doi.org/10.1109/PESGM52009.2025.11225522.

Abstract

This paper presents a reinforcement learning (RL) approach for secondary voltage and frequency control in islanded inverter-based microgrids. The proposed control strategy aims to restore voltage and frequency deviations caused by the primary droop control while ensuring proper power sharing between distributed generators. The RL agent is designed to provide correction signals to the primary control, considering communication delays and system constraints. The effectiveness of the proposed control strategy is validated through simulation results in MATLAB/Simulink environment, demonstrating superior performance in maintaining voltage and frequency within the nominal values.


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