eprintid: 16299
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/62/99
datestamp: 2023-12-19 03:22:50
lastmod: 2023-12-19 03:22:50
status_changed: 2023-12-19 03:06:00
type: article
metadata_visibility: show
creators_name: Aljafari, B.
creators_name: Madeti, S.R.K.
creators_name: Satpathy, P.R.
creators_name: Thanikanti, S.B.
creators_name: Ayodele, B.V.
title: Automatic Monitoring System for Online Module-Level Fault Detection in Grid-Tied Photovoltaic Plants
ispublished: pub
keywords: Carrier transmission on power lines; Costs; MATLAB; Monitoring; Solar panels; Solar power generation, Automatic monitoring-system; Faults detection; Grid-tied photovoltaic system; Matlab/gui; Module level faults; Online modules; Photovoltaic systems; Power line communication; Power lines; Solar photovoltaics, Fault detection
note: cited By 3
abstract: In this paper, a novel fault detection and diagnosis technique for a grid-tied photovoltaic (GTPV) with the ability of module-level fault location and differentiation is proposed. The proposed system measures the voltage, current, and temperature of the PV modules using low-cost sensors and critically compares them with the mathematical evaluated data to locate the type and location of the fault in the system. Additionally, a power line communication (PLC)-based low-cost PV monitoring system for tracking the operation of individual modules along with a fault detection algorithm is proposed to detect and locate the fault in the system. An intuitive online web application is also created to make it simple for users to view monitored data online. The suggested method is shown to have reduced computing needs; thus, the transmission of data and fault diagnosis is performed using the same microcontroller without the need for extra hardware or simulation software. The usefulness of the proposed method in identifying different fault occurrences in GTPV systems has been shown via experimental findings. © 2022 by the authors.
date: 2022
publisher: MDPI
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85140758135&doi=10.3390%2fen15207789&partnerID=40&md5=7b3a11a0949a46d961812b80baf6370e
id_number: 10.3390/en15207789
full_text_status: none
publication: Energies
volume: 15
number: 20
refereed: TRUE
issn: 19961073
citation:   Aljafari, B. and Madeti, S.R.K. and Satpathy, P.R. and Thanikanti, S.B. and Ayodele, B.V.  (2022) Automatic Monitoring System for Online Module-Level Fault Detection in Grid-Tied Photovoltaic Plants.  Energies, 15 (20).   ISSN 19961073