An Adaptive Perturb and Observe Algorithm With Enhanced Skipping Feature for Fast Global Maximum Power Point Tracking Under Partial Shading Conditions-Reference-Cited by-同舟云学术

An Adaptive Perturb and Observe Algorithm With Enhanced Skipping Feature for Fast Global Maximum Power Point Tracking Under Partial Shading Conditions

Published:2023-09 Issue:9 Volume:38 Page:11601-11613
ISSN:0885-8993
Container-title:IEEE Transactions on Power Electronics
language:
Short-container-title:IEEE Trans. Power Electron.

Author:

Ahmed Sajib¹^ORCID,Mekhilef Saad²^ORCID,Mubin Marizan¹^ORCID,Tey Kok Soon³^ORCID,Kermadi Mostefa¹^ORCID

Affiliation:

1. Department of Electrical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia

2. School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Hawthorn, VIC, Australia

3. Department of Computer System and Technology, Faculty of Computer Science and Information Technology, Universiti Malaya, Kuala Lumpur, Malaysia

Funder

Ministry of Higher Education, Malaysia

Universiti Malaya Matching

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/63/10197478/10149516.pdf?arnumber=10149516

Reference31 articles.

1. Maximum Power Point Tracking Algorithm Based on Fuzzy Logic Control Using P-V and I-V Characteristics for PV Array

2. A Differential Evolution-Based Optimized Fuzzy Logic MPPT Method for Enhancing the Maximum Power Extraction of Proton Exchange Membrane Fuel Cells

3. Maximum Power Point Tracking Using ANFIS for a Reconfigurable PV-Based Battery Charger Under Non-Uniform Operating Conditions

4. A combined reinforcement learning and sliding mode control scheme for grid integration of a PV System

5. Design and Control of Magnetic Levitation System by Optimizing Fractional Order PID Controller Using Ant Colony Optimization Algorithm

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