Water Cycle Algorithm (WCA): A New Technique to Harvest Maximum Power from PV-Reference-Cited by-同舟云学术

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Water Cycle Algorithm (WCA): A New Technique to Harvest Maximum Power from PV

Published:2021-12-17 Issue:1 Volume:53 Page:80-102
ISSN:0196-9722
Container-title:Cybernetics and Systems
language:en
Short-container-title:Cybernetics and Systems

Author:

Javed Muhammad Yaqoob¹,Hasan Ali¹,Rizvi Syed Tahir Hussain²,Hafeez Annas¹,Sarwar Sajid¹,Telmoudi Achraf Jabeur³

Affiliation:

1. Department of Electrical and Computer Engineering, COMSATS University Islamabad, Lahore Campus, Lahore, Pakistan

2. Dipartimento Di Elettronica E Telecomunicazioni, Politecnico di Torino, Torino, Italy

3. LISIER Laboratory, The National Higher Engineering School of Tunis (ENSIT), University of Tunis, Tunis, Tunisia

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Information Systems,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/01969722.2021.2008683

Reference22 articles.

1. AI-based global MPPT for partial shaded grid connected PV plant via MFO approach

2. Modified Particle Swarm Optimization technique based Maximum Power Point Tracking for uniform and under partial shading condition

3. A New MPPT-based ANN for Photovoltaic System under Partial Shading Conditions

4. A novel global MPPT based on genetic algorithms for photovoltaic systems under the influence of partial shading

5. A novel MPPT (maximum power point tracking) algorithm based on a modified genetic algorithm specialized on tracking the global maximum power point in photovoltaic systems affected by partial shading

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A new adaptive Perturb & Observe controller via robust approach for PV grid-connected;International Journal of Control;2024-07-17

2. Fotovoltaik sistemlerde gri kurt optimizasyon (gko) algoritması ve artımlı iletkenlik (ai) yönteminin maksimumum güç noktası takibi (mgnt) için karşılaştırılması;Gümüşhane Üniversitesi Fen Bilimleri Enstitüsü Dergisi;2023-09-02

3. Backstepping-Based Artificial Intelligence Algorithm for Photovoltaic-Quadratic Boost Converter System;Cybernetics and Systems;2023-08-26

4. Exploration of different maximum power point tracking techniques for photovoltaic system;International Journal of Ambient Energy;2022-11-03

5. Modular Level Power Electronics (MLPE) Based Distributed PV System for Partial Shaded Conditions;Energies;2022-06-30

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