Optimal Scheduling of Biomass-Hybrid Microgrids with Energy Storage: An LSTM-PMOEVO Framework for Uncertain Environments

Optimal Scheduling of Biomass-Hybrid Microgrids with Energy Storage: An LSTM-PMOEVO Framework for Uncertain Environments

The microgrid is a small-scale, independent power system that plays a crucial role in the transition to carbon-neutral energy systems. Combined heat and power (CHP) systems with energy storage reduce energy waste within microgrids, enhancing energy utilization efficiency. The key challenge for a mic...

Full description

Saved in:
Bibliographic Details
Main Authors: Zichong Wang, Yingying Zheng
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Applied Sciences
Subjects:
microgrid
combined heat and power
energy storage
bi-objective
LSTM-PMOEVO
unpredictable energy load fluctuations
Online Access:https://www.mdpi.com/2076-3417/15/5/2702
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2076-3417/15/5/2702

Similar Items