Fault detection in photovoltaic systems using IoT-Reference-Cited by-同舟云学术

Fault detection in photovoltaic systems using IoT

Published:2024-06-30 Issue: Volume: Page:9-15
ISSN:2410-3454
Container-title:Revista de Aplicaciones de la Ingeniería
language:en
Short-container-title:JEA

Author:

Sánchez-Tiburcio Luis Augusto¹^ORCID,Garrido-Meléndez Javier¹^ORCID,Rueda-Martinez Fernando¹^ORCID,Sevilla-Romero Jorge Uriel¹^ORCID

Affiliation:

1. Universidad Veracruzana

Abstract

Fault detection in photovoltaic (PV) systems using the Internet of Things (IoT) allows monitoring variables that may be of interest to users who do not have technical knowledge and wish to measure: current, voltage, temperature, power generated, and money saved by the energy generated. This study aims to present a methodology for implementing a low-cost Internet of Things (IoT) to an FS in order to identify recurring faults using the Exponentially Weighted Moving Average (EWMA) statistical technique. The system was applied to a 3500 W PV located at the Universidad Veracruzana Campus Cotzacoalcos.

Publisher

ECORFAN

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