Rigdelet Neural Networks-based Maximum Power Point Tracking for a PEMFC connected to the network with Interleaved Boost Converter optimized by Improved Satin Bowerbird Optimization

Rigdelet Neural Networks-based Maximum Power Point Tracking for a PEMFC connected to the network with Interleaved Boost Converter optimized by Improved Satin Bowerbird Optimization

This paper proposes a new control policy for optimal control of the 3-phase system of PEMFC connected to the grid. This also includes a 3-phase high step-up Interleaved Boost Converter (IBC) to amplify the PEMFC outputted voltage. To control the PEMFC system, Maximum Power Point Tracking (MPPT) base...

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Bibliographic Details
Main Authors: Yulong Su, Kai Ma, Shichuang Zheng, Donglin Xue, Xinyao Li
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Energy Reports
Subjects:
Polymer electrolyte membrane fuel cells
MPPT
IBC
Control
Rigdelet Neural Networks
Grid-connected
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484723003773

Internet

http://www.sciencedirect.com/science/article/pii/S2352484723003773

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