Gray wolf optimization‐based optimal grid connected solar photovoltaic system with enhanced power quality features-Reference-Cited by-同舟云学术

Gray wolf optimization‐based optimal grid connected solar photovoltaic system with enhanced power quality features

Published:2021-11-03 Issue:5 Volume:34 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency and Computation

Author:

Nagadurga T.¹²,Narasimham P. V. R. L.³,Vakula V. S.⁴,Devarapalli Ramesh⁵^ORCID

Affiliation:

1. Department of Electrical and Electronics Engineering, University College of Engineering JNTUK Kakinada Andhra Pradesh India

2. Department of Electrical and Electronics Engineering Lakireddy Bali Reddy College of Engineering Mylavaram Andhra Pradesh India

3. Department of Electrical and Electronics Engineering VR Siddhartha Engineering College Kanuru Andhra Pradesh India

4. Department of Electrical and Electronics Engineering, University College of Engineering JNTUK Vizianagaram Andhra Pradesh India

5. Department of Electrical Engineering BIT Sindri Dhanbad Jharkhand India

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.6696

Reference35 articles.

1. A comprehensive review on solar PV maximum power point tracking techniques

2. The application of soft computing methods for MPPT of PV system: A technological and status review

3. Butterfly optimization algorithm based maximum power point tracking of photovoltaic systems under partial shading condition;Aygül K;Energy Sources Recovery Util Environ Eff,2019

4. Dynamic global maximum power point tracking of the PV systems under variant partial shading using hybrid GWO-FLC

5. A Particle Swarm Optimization-Based Maximum Power Point Tracking Algorithm for PV Systems Operating Under Partially Shaded Conditions

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