A Novel Experimental and Approach of Diagnosis, Partial Shading, and Fault Detection for Domestic Purposes Photovoltaic System Using Data Exchange of Adjacent Panels

This paper presents a new detection method of fault and partial shading condition (PSC) in a photovoltaic (PV) domestic network, considering maximum power point tracking (MPPT). The MPPT has been executed by employing a boost converter using particle swarm optimization (PSO) technique. The system is...

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Main Authors: H. A. Raeisi, S. M. Sadeghzadeh
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:International Journal of Photoenergy
Online Access:http://dx.doi.org/10.1155/2021/9956433
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author H. A. Raeisi
S. M. Sadeghzadeh
author_facet H. A. Raeisi
S. M. Sadeghzadeh
author_sort H. A. Raeisi
collection DOAJ
description This paper presents a new detection method of fault and partial shading condition (PSC) in a photovoltaic (PV) domestic network, considering maximum power point tracking (MPPT). The MPPT has been executed by employing a boost converter using particle swarm optimization (PSO) technique. The system is composed of two photovoltaic arrays. Each PV array contains three panels connected in series, including distinct MPPT. The PSC detection exploits the neighboring PV system data. This suggested innovative algorithm is proficient in detecting these subjects: (a) fault, (b) partial shading condition, (c) solar panel (d) panel’s relevant bypass diode failure, (d) converter failure alongside specifying the failed semiconductor, and (e) PV disconnection failure. The simulation process has been implemented using MATLAB/Simulink software. To this end, the proposed method was investigated experimentally using two 250 W PV solar set under various PSCs and faults. A data exchange link is used to implement an integrated management system. The Zigbee protocol was also chosen to data exchange of converters. The results validated the applicability and practicality of this algorithm in domestic PV systems.
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spelling doaj-art-dd9d4cbb98404c42b2609e54c0d9a3cc2025-02-03T01:25:47ZengWileyInternational Journal of Photoenergy1110-662X1687-529X2021-01-01202110.1155/2021/99564339956433A Novel Experimental and Approach of Diagnosis, Partial Shading, and Fault Detection for Domestic Purposes Photovoltaic System Using Data Exchange of Adjacent PanelsH. A. Raeisi0S. M. Sadeghzadeh1Shahed University, Faculty of Engineering, Khalig-e-Fars Freeway, Tehran, 18155/159, 3319118651, IranShahed University, Faculty of Engineering, Khalig-e-Fars Freeway, Tehran, 18155/159, 3319118651, IranThis paper presents a new detection method of fault and partial shading condition (PSC) in a photovoltaic (PV) domestic network, considering maximum power point tracking (MPPT). The MPPT has been executed by employing a boost converter using particle swarm optimization (PSO) technique. The system is composed of two photovoltaic arrays. Each PV array contains three panels connected in series, including distinct MPPT. The PSC detection exploits the neighboring PV system data. This suggested innovative algorithm is proficient in detecting these subjects: (a) fault, (b) partial shading condition, (c) solar panel (d) panel’s relevant bypass diode failure, (d) converter failure alongside specifying the failed semiconductor, and (e) PV disconnection failure. The simulation process has been implemented using MATLAB/Simulink software. To this end, the proposed method was investigated experimentally using two 250 W PV solar set under various PSCs and faults. A data exchange link is used to implement an integrated management system. The Zigbee protocol was also chosen to data exchange of converters. The results validated the applicability and practicality of this algorithm in domestic PV systems.http://dx.doi.org/10.1155/2021/9956433
spellingShingle H. A. Raeisi
S. M. Sadeghzadeh
A Novel Experimental and Approach of Diagnosis, Partial Shading, and Fault Detection for Domestic Purposes Photovoltaic System Using Data Exchange of Adjacent Panels
International Journal of Photoenergy
title A Novel Experimental and Approach of Diagnosis, Partial Shading, and Fault Detection for Domestic Purposes Photovoltaic System Using Data Exchange of Adjacent Panels
title_full A Novel Experimental and Approach of Diagnosis, Partial Shading, and Fault Detection for Domestic Purposes Photovoltaic System Using Data Exchange of Adjacent Panels
title_fullStr A Novel Experimental and Approach of Diagnosis, Partial Shading, and Fault Detection for Domestic Purposes Photovoltaic System Using Data Exchange of Adjacent Panels
title_full_unstemmed A Novel Experimental and Approach of Diagnosis, Partial Shading, and Fault Detection for Domestic Purposes Photovoltaic System Using Data Exchange of Adjacent Panels
title_short A Novel Experimental and Approach of Diagnosis, Partial Shading, and Fault Detection for Domestic Purposes Photovoltaic System Using Data Exchange of Adjacent Panels
title_sort novel experimental and approach of diagnosis partial shading and fault detection for domestic purposes photovoltaic system using data exchange of adjacent panels
url http://dx.doi.org/10.1155/2021/9956433
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AT haraeisi novelexperimentalandapproachofdiagnosispartialshadingandfaultdetectionfordomesticpurposesphotovoltaicsystemusingdataexchangeofadjacentpanels
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