A Smart Web-Based Power Quality and Energy Monitoring System With Enhanced Features

The growing demand for advanced power monitoring underscores the limitations of traditional smart meters, which often lack detailed insights into power quality. This capability has become increasingly important as modern electrical systems are more vulnerable to disturbances and inefficiencies. This...

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Main Authors: Rami Moustafa, Hussain Shareef, Madathodika Asna, Rachid Errouissi, Jeyraj Selvaraj
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/11007100/
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author Rami Moustafa
Hussain Shareef
Madathodika Asna
Rachid Errouissi
Jeyraj Selvaraj
author_facet Rami Moustafa
Hussain Shareef
Madathodika Asna
Rachid Errouissi
Jeyraj Selvaraj
author_sort Rami Moustafa
collection DOAJ
description The growing demand for advanced power monitoring underscores the limitations of traditional smart meters, which often lack detailed insights into power quality. This capability has become increasingly important as modern electrical systems are more vulnerable to disturbances and inefficiencies. This paper presents the design and development of a low-cost, real-time power quality and energy monitoring device (PQEm), specifically engineered for easy installation in any electrical setup, whether for bulk metering or submetering of individual units or appliances. The PQEm system integrates a highly precise multiphase analog front-end (AFE) power quality IC with a system-on-a-chip (SoC) platform, enabling the collection of real-time data on key energy metrics such as active, reactive, and apparent power, while also detecting a wide spectrum of power quality disturbances, including sags, swells, interruptions, and voltage imbalances, with a detection latency of less than 5 ms. The PQEm device includes time-frequency analysis to enhance visualization and characterization of voltage and current data. It also supports long-term raw data recording at the native sampling frequency, a feature typically reserved for high-end power quality analyzers. The device has been calibrated and validated through both laboratory testing and real-world applications, offering a cost-effective and user-friendly solution that addresses critical gaps in existing smart metering systems while empowering consumers to monitor power quality issues with greater precision.
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spelling doaj-art-fb088be8f19f44c994b23fa5759fceab2025-08-20T03:13:43ZengIEEEIEEE Access2169-35362025-01-0113884588847110.1109/ACCESS.2025.357162311007100A Smart Web-Based Power Quality and Energy Monitoring System With Enhanced FeaturesRami Moustafa0https://orcid.org/0000-0003-3368-1669Hussain Shareef1https://orcid.org/0000-0001-7708-6904Madathodika Asna2https://orcid.org/0000-0001-8709-4641Rachid Errouissi3https://orcid.org/0000-0003-4979-6858Jeyraj Selvaraj4https://orcid.org/0000-0003-2241-4258Department of Electrical and Communication Engineering, United Arab Emirates University, Al Ain, United Arab EmiratesDepartment of Electrical and Communication Engineering, United Arab Emirates University, Al Ain, United Arab EmiratesDepartment of Electrical and Communication Engineering, United Arab Emirates University, Al Ain, United Arab EmiratesDepartment of Electrical and Communication Engineering, United Arab Emirates University, Al Ain, United Arab EmiratesDepartment of Electrical Engineering, University of Malaya, Kuala Lumpur, MalaysiaThe growing demand for advanced power monitoring underscores the limitations of traditional smart meters, which often lack detailed insights into power quality. This capability has become increasingly important as modern electrical systems are more vulnerable to disturbances and inefficiencies. This paper presents the design and development of a low-cost, real-time power quality and energy monitoring device (PQEm), specifically engineered for easy installation in any electrical setup, whether for bulk metering or submetering of individual units or appliances. The PQEm system integrates a highly precise multiphase analog front-end (AFE) power quality IC with a system-on-a-chip (SoC) platform, enabling the collection of real-time data on key energy metrics such as active, reactive, and apparent power, while also detecting a wide spectrum of power quality disturbances, including sags, swells, interruptions, and voltage imbalances, with a detection latency of less than 5 ms. The PQEm device includes time-frequency analysis to enhance visualization and characterization of voltage and current data. It also supports long-term raw data recording at the native sampling frequency, a feature typically reserved for high-end power quality analyzers. The device has been calibrated and validated through both laboratory testing and real-world applications, offering a cost-effective and user-friendly solution that addresses critical gaps in existing smart metering systems while empowering consumers to monitor power quality issues with greater precision.https://ieeexplore.ieee.org/document/11007100/Power quality monitoringenergy monitoringpower qualityADE9000GrafanaRaspberry Pi
spellingShingle Rami Moustafa
Hussain Shareef
Madathodika Asna
Rachid Errouissi
Jeyraj Selvaraj
A Smart Web-Based Power Quality and Energy Monitoring System With Enhanced Features
IEEE Access
Power quality monitoring
energy monitoring
power quality
ADE9000
Grafana
Raspberry Pi
title A Smart Web-Based Power Quality and Energy Monitoring System With Enhanced Features
title_full A Smart Web-Based Power Quality and Energy Monitoring System With Enhanced Features
title_fullStr A Smart Web-Based Power Quality and Energy Monitoring System With Enhanced Features
title_full_unstemmed A Smart Web-Based Power Quality and Energy Monitoring System With Enhanced Features
title_short A Smart Web-Based Power Quality and Energy Monitoring System With Enhanced Features
title_sort smart web based power quality and energy monitoring system with enhanced features
topic Power quality monitoring
energy monitoring
power quality
ADE9000
Grafana
Raspberry Pi
url https://ieeexplore.ieee.org/document/11007100/
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