Extended-Window Algorithms for Model Prediction Applied to Hybrid Power Systems

Extended-Window Algorithms for Model Prediction Applied to Hybrid Power Systems

This paper proposes extended-window algorithms for model prediction and applies them to optimize hybrid power systems. We consider a hybrid power system comprising solar panels, batteries, a fuel cell, and a chemical hydrogen generation system. The proposed algorithms enable the periodic updating of...

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Bibliographic Details
Main Authors: Fu-Cheng Wang, Hsiao-Tzu Huang
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Technologies
Subjects:
hybrid power
fuel cell
prediction
management
optimization
extended window
Online Access:https://www.mdpi.com/2227-7080/12/1/6

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