An Artificial Intelligence Frequency Regulation Strategy for Renewable Energy Grids Based on Hybrid Energy Storage

An Artificial Intelligence Frequency Regulation Strategy for Renewable Energy Grids Based on Hybrid Energy Storage

To address the frequency regulation requirements of hybrid energy storage (HES) in renewable-dominated power grids, this paper proposes an asymmetric droop control strategy based on an improved backpropagation (BP) neural network. First, a simulation model of HES (comprising supercapacitors for the...

Full description

Saved in:
Bibliographic Details
Main Authors: Qiang Zhang, Qi Jia, Tingqi Zhang, Hui Zeng, Chao Wang, Wansong Liu, Hanlin Li, Yihui Song
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Energies
Subjects:
asymmetric droop control
hybrid energy storage
improved backpropagation neural network
frequency stability
state of charge optimization
Online Access:https://www.mdpi.com/1996-1073/18/10/2629
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/1996-1073/18/10/2629

Similar Items