Optimizing high voltage gain interleaved boost converters for PV and wind systems using hybrid deep learning with bitterling fish and secretary bird algorithms

Optimizing high voltage gain interleaved boost converters for PV and wind systems using hybrid deep learning with bitterling fish and secretary bird algorithms

The integration of renewable energy sources such as photovoltaic (PV) and wind systems demands high-efficiency, high-voltage gain power conversion architectures. However, interleaved boost converters, while suitable for such applications, face challenges in balancing complexity, scalability, cost, a...

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Bibliographic Details
Main Authors: G.Veera Sankara Reddy, S. Vijayaraj
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Franklin Open
Subjects:
Renewable energy integration
High-voltage gain converters
Dynamic adaptation
Real-time optimization
Stability enhancement
Efficiency maximization
Online Access:http://www.sciencedirect.com/science/article/pii/S2773186325000817
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