A novel statistical performance evaluation of most modern optimization-based global MPPT techniques for partially shaded PV system-Reference-Cited by-同舟云学术

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A novel statistical performance evaluation of most modern optimization-based global MPPT techniques for partially shaded PV system

Published:2019-11 Issue: Volume:115 Page:109372
ISSN:1364-0321
Container-title:Renewable and Sustainable Energy Reviews
language:en
Short-container-title:Renewable and Sustainable Energy Reviews

Author:

Rezk Hegazy,AL-Oran Mazen,Gomaa Mohamed R.,Tolba Mohamed A.,Fathy Ahmed,Abdelkareem Mohammad Ali,Olabi A.G.,El-Sayed Abou Hashema M.

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference150 articles.

1. Solar energy: potential and future prospects;Kabir;Renew Sustain Energy Rev,2018

2. Comparative and comprehensive review of maximum power point tracking methods for PV cells;Danandeh;Renew Sustain Energy Rev,2018

3. Artificial intelligence-based maximum power point tracking controllers for Photovoltaic systems: comparative study;Kermadi;Renew Sustain Energy Rev,2017

4. Modified efficient perturb and observe maximum power point tracking technique for grid-tied PV system;Ali;Int J Electr Power Energy Syst,2018

5. Design of a solar photovoltaic system to cover the electricity demand for the faculty of Engineering-Mu'tah University in Jordan;Al-Najideen;Resour-Efficient Technol,2017

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4. Hybrid of Meta-Heuristic Techniques Based on Cuckoo Search and Particle Swarm Optimizations for Solar PV Systems Subjected to Partially Shaded Conditions;Solar Energy and Sustainable Development Journal;2024-03-30

5. A new metaheuristic-based MPPT controller for photovoltaic systems under partial shading conditions and complex partial shading conditions;Neural Computing and Applications;2024-01-22

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