Improving dynamic efficiency of photovoltaic generation systems using adaptive type 2 fuzzy‐neural network via EN 50530 test procedure-Reference-Cited by-同舟云学术

Improving dynamic efficiency of photovoltaic generation systems using adaptive type 2 fuzzy‐neural network via EN 50530 test procedure

Published:2021-08-26 Issue:11 Volume:49 Page:3922-3940
ISSN:0098-9886
Container-title:International Journal of Circuit Theory and Applications
language:en
Short-container-title:Int J Circ Theor Appl

Author:

Gani Ahmet¹^ORCID

Affiliation:

1. Faculty of Engineering and Architecture, Department of Electrical and Electronics Engineering Kahramanmaraş Sutcu Imam University Kahramanmaraş Turkey

Publisher

Wiley

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cta.3126

Reference43 articles.

1. A Study on the Fuzzy-Logic-Based Solar Power MPPT Algorithms Using Different Fuzzy Input Variables

2. Conventional and Soft-Computing Based MPPT Methods Comparisons in Direct and Indirect Modes for Single Stage PV Systems

3. Improving Power-Conversion Efficiency via a Hybrid MPPT Approach for Photovoltaic Systems

4. Robust control of high gain DC-DC converter using Type-2 fuzzy neural network controller for MPPT

5. Performance evaluation of the perturb & observe and incremental conductance algorithms according to the EN 50530 dynamic efficiency test;Kırcioglu O;Sakarya Univ J Sci,2018

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