Efficient load frequency controller for a power system comprising renewable resources based on deep reinforcement learning

Efficient load frequency controller for a power system comprising renewable resources based on deep reinforcement learning

Abstract This paper presents the development of an adaptive load frequency controller (LFC) to mitigate frequency deviations in power systems comprising renewable energy sources (RESs) during transient and steady-state conditions. Integrating RESs with power systems results in frequency problems due...

Full description

Saved in:
Bibliographic Details
Main Authors: Mohamed A. El-Hameed, Mahfouz Saeed, Adnan Kabbani, Enas Abd El-Hay
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Deep neural networks
Reinforcement learning
Load frequency control
Renewable resources
Online Access:https://doi.org/10.1038/s41598-025-03310-2
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1038/s41598-025-03310-2

Similar Items