A Single Sensor-Based Detection Mechanism for L-L/L-G Faults of PV Array

In this article, a single sensor-based fault detection mechanism (FDM) is proposed to detect the line-to-line (L-L) and line-to-ground (L-G) faults in a photovoltaic (PV) array. The hardware framework contains an extra dc-bus and capacitor-diode pair for each string and a single current sensor. Comp...

Full description

Saved in:
Bibliographic Details
Published inIEEE transactions on instrumentation and measurement Vol. 73; pp. 1 - 11
Main Authors Murtaza, Ali Faisal, Ahmed Sher, Hadeed, Alharbi, Talal, Spertino, Filippo
Format Journal Article
LanguageEnglish
Published New York IEEE 2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Online AccessGet full text
ISSN0018-9456
1557-9662
DOI10.1109/TIM.2024.3425492

Cover

More Information
Summary:In this article, a single sensor-based fault detection mechanism (FDM) is proposed to detect the line-to-line (L-L) and line-to-ground (L-G) faults in a photovoltaic (PV) array. The hardware framework contains an extra dc-bus and capacitor-diode pair for each string and a single current sensor. Compared with the past hardware topologies, the proposed FDM delivers the following critical advantages: 1) fault is detected at string level along with its type in milliseconds time frame, which ensures that there is no fire-hazard in PV plant; 2) string under fault automatically disconnects from other healthy strings through passive RC network; and 3) the installation of co-hardware-software system is low cost with negligible active-power field circuits and operates with a simple algorithm. The scientific philosophy and comprehensive analysis of the proposed FDM are provided. To evaluate the effectiveness of the proposed FDM, computer simulations and practical experiments are performed on numerous fault scenarios in a PV array. These results not only validate the fundamental operation of the proposed FDM along with its features but also highlight its excellent accuracy in detecting faults.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0018-9456
1557-9662
DOI:10.1109/TIM.2024.3425492