Optimizing The Performance Of Photovoltaic Systems Under Non-uniform Irradiance Using ANN-MPPT Algorithm-Reference-Cited by-同舟云学术

Optimizing The Performance Of Photovoltaic Systems Under Non-uniform Irradiance Using ANN-MPPT Algorithm

Published:2023-02-19 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Conference on Power Electronics and Renewable Energy (CPERE)
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Author:

Khafagy Mohamed A.¹,Abdellatif Sameh O.²,Swief Rania A.³,Ghali Hani A.²

Affiliation:

1. The British University of Egypt (BUE),Faculty of Engineering,MSc. Student in Renewable Energy Program, Electrical Engineering Department,Cairo,Egypt

2. Faculty of Engineering and FabLab in the center for Emerging Learning Technology(CELT),Faculty of Engineering and FabLab in the centerfor Emerging Learning Technology(CELT),Electrical Engineering Department,Cairo,Egypt

3. Ain Sham University,Electrical Power and Machines Engineering, Faculty of Engineering,Cairo,Egypt

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10119528/10119529/10119640.pdf?arnumber=10119640

Reference13 articles.

1. Experimental and Theoretical Analysis of the Fast Charging Polymer Lithium-Ion Battery Based on Cuckoo Optimization Algorithm (COA)

2. Grey Wolf Optimizer

3. Artificial Neural Networks in MPPT Algorithms for Optimization of Photovoltaic Power Systems: A Review

4. Investigating the Utility of Perturbation and Observation, Incremental Conductance and Grey-Wolf MPPT Techniques for ON-Grid PV System Under Fluctuated Environmental Conditions

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