Content area

Abstract

In this research study, an automated design is introduced for the Photovoltaic (PV) Maximum Power Point Tracking (MPPT) Technique using a Programmable Logic Controller (PLC) S7-1200 type. The perturb and Observe (P&O) algorithm was employed to track the maximum power point continuously and reduce output fluctuations. This innovative design seeks to address the usual constraints associated with standard P&O-MPPT algorithms by harnessing the power of PLC automation. The system was meticulously modelled and simulated using the Siemens Automation program (TIA Portal) with the use of a ladder and Structured Control Language (SCL) languages, depicted as a function block. Furthermore, an experimental prototype was developed employing a PLC as the control unit to authenticate the accuracy and effectiveness of the P&O algorithm’s outcomes with a DC-DC Boost converter. The system’s performance was compared under varying meteorological conditions. Additionally, a Supervisory Control and Data Acquisition (SCADA) screen was developed for periodic monitoring and displaying results on the PC screen. The system has proven to be highly efficient in tracking maximum power, periodic monitoring, and displaying results on the computer screen.

Details

1009240
Business indexing term
Title
Implementation of an MPPT Technique for Solar PV Systems Based on a Programmable Logic Controller
Author
Younis, Omar A 1 ; Ibraheem, Ahmed M T 1 

 Department of Electrical Engineering Techniques, Technical Engineering College/ Mosul, Northern Technical University , Mosul, Iraq 
Volume
1440
Issue
1
First page
012003
Publication year
2025
Publication date
Jan 2025
Publisher
IOP Publishing
Place of publication
Bristol
Country of publication
United Kingdom
Publication subject
ISSN
17551307
e-ISSN
17551315
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
ProQuest document ID
3154143570
Document URL
https://www.proquest.com/scholarly-journals/implementation-mppt-technique-solar-pv-systems/docview/3154143570/se-2?accountid=208611
Copyright
Published under licence by IOP Publishing Ltd. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-09-22
Database
ProQuest One Academic