Comparative analysis of two-step GA-based PV array reconfiguration technique and other reconfiguration techniques

Dynamic models; Electric connectors; MATLAB; Particle swarm optimization (PSO); Photovoltaic cells; Software testing; Solar power generation; Comparative analysis; Comparative studies; Dynamic reconfiguration techniques; Dynamic techniques; Electrical connection; Matlab/Simulink software; Performanc...

Full description

Saved in:
Bibliographic Details
Main Authors: Muhammad Ajmal A., Ramachandaramurthy V.K., Naderipour A., Ekanayake J.B.
Other Authors: 57217176335
Format: Article
Published: Elsevier Ltd 2023
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uniten.dspace-26317
record_format dspace
spelling my.uniten.dspace-263172023-05-29T17:09:02Z Comparative analysis of two-step GA-based PV array reconfiguration technique and other reconfiguration techniques Muhammad Ajmal A. Ramachandaramurthy V.K. Naderipour A. Ekanayake J.B. 57217176335 6602912020 36677578000 7003409510 Dynamic models; Electric connectors; MATLAB; Particle swarm optimization (PSO); Photovoltaic cells; Software testing; Solar power generation; Comparative analysis; Comparative studies; Dynamic reconfiguration techniques; Dynamic techniques; Electrical connection; Matlab/Simulink software; Performance analysis; Real-time application; Genetic algorithms Photovoltaic (PV) plants can be exposed to partial shading, which reduces the energy production and causes multi-peaks to form in the Power-Voltage (P-V) curve. As a result, the row currents of the PV modules will not be constant. Several techniques have been proposed to overcome partial shading, such as the static and dynamic reconfiguration techniques, with both aiming to reduce the difference in the row currents to improve energy production. Minimization of the row current via static techniques requires laborious work and extra wiring. On the other hand, dynamic techniques require an extensive monitoring system to support different tasks. Therefore, to improve the power generated from the PV array, this paper suggests a new reconfiguration technique for PV panels using Genetic algorithm (GA) and two main reconfigurable steps based on a switching matrix. In this technique, only the electrical connections of the PV panels are changed while its physical location remains unchanged. To verify the effectiveness of the proposed reconfiguration technique, the system was simulated and tested using MATLAB/SIMULINK software, with four shading patterns. The results were compared with other reconfiguration techniques, namely TCT configuration, competence square (CS), SuDoKu, two-phase array reconfiguration, Genetic algorithm (GA), Particle Swarm Optimization (PSO), and Modified Harris Hawks Optimization (MHHO). The performance of each shading case was also analyzed. Also, a comparative study on performance analysis in real-time application was carried out for each shading pattern. The results prove the superiority of the proposed technique over other techniques for overcoming partial shading. � 2020 Elsevier Ltd Final 2023-05-29T09:09:02Z 2023-05-29T09:09:02Z 2021 Article 10.1016/j.enconman.2020.113806 2-s2.0-85098967039 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098967039&doi=10.1016%2fj.enconman.2020.113806&partnerID=40&md5=d07e860c6b302bcb3b064924b0fd84bc https://irepository.uniten.edu.my/handle/123456789/26317 230 113806 Elsevier Ltd Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Dynamic models; Electric connectors; MATLAB; Particle swarm optimization (PSO); Photovoltaic cells; Software testing; Solar power generation; Comparative analysis; Comparative studies; Dynamic reconfiguration techniques; Dynamic techniques; Electrical connection; Matlab/Simulink software; Performance analysis; Real-time application; Genetic algorithms
author2 57217176335
author_facet 57217176335
Muhammad Ajmal A.
Ramachandaramurthy V.K.
Naderipour A.
Ekanayake J.B.
format Article
author Muhammad Ajmal A.
Ramachandaramurthy V.K.
Naderipour A.
Ekanayake J.B.
spellingShingle Muhammad Ajmal A.
Ramachandaramurthy V.K.
Naderipour A.
Ekanayake J.B.
Comparative analysis of two-step GA-based PV array reconfiguration technique and other reconfiguration techniques
author_sort Muhammad Ajmal A.
title Comparative analysis of two-step GA-based PV array reconfiguration technique and other reconfiguration techniques
title_short Comparative analysis of two-step GA-based PV array reconfiguration technique and other reconfiguration techniques
title_full Comparative analysis of two-step GA-based PV array reconfiguration technique and other reconfiguration techniques
title_fullStr Comparative analysis of two-step GA-based PV array reconfiguration technique and other reconfiguration techniques
title_full_unstemmed Comparative analysis of two-step GA-based PV array reconfiguration technique and other reconfiguration techniques
title_sort comparative analysis of two-step ga-based pv array reconfiguration technique and other reconfiguration techniques
publisher Elsevier Ltd
publishDate 2023
_version_ 1806426251851726848
score 13.188404