Enhancing Photovoltaic Conversion Efficiency With Model Predictive Control-Based Sensor-Reduced Maximum Power Point Tracking in Modified SEPIC Converters-Reference-Cited by-同舟云学术

Enhancing Photovoltaic Conversion Efficiency With Model Predictive Control-Based Sensor-Reduced Maximum Power Point Tracking in Modified SEPIC Converters

Published:2023 Issue: Volume:11 Page:100769-100780
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Abdel-Rahim Omar¹^ORCID,Alghaythi Mamdouh L.²^ORCID,Alshammari Meshari S.²,Osheba Dina S. M.³^ORCID

Affiliation:

1. Electrical Engineering Department, Faculty of Engineering, Aswan University, Aswan, Egypt

2. Department of Electrical Engineering, College of Engineering, Jouf University, Sakaka, Al-Jouf, Saudi Arabia

3. Department of Electrical Engineering, Faculty of Engineering, Menoufia University, Shebeen El-Kom, Egypt

Funder

Deputyship for Research and Innovation, Ministry of Education, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10250777.pdf?arnumber=10250777

Reference29 articles.

1. Reduced Simulative Performance Analysis of Variable Step Size ANN Based MPPT Techniques for Partially Shaded Solar PV Systems

2. A novel model predictive control for high gain switched inductor power conditioning system for photovoltaic applications

3. A Reduced Search Space Exploration Metaheuristic Algorithm for MPPT

4. Improved Restricted Control Set Model Predictive Control (iRCS-MPC) Based Maximum Power Point Tracking of Photovoltaic Module

5. A Grey Wolf-Assisted Perturb & Observe MPPT Algorithm for a PV System

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