Precise and reliable monitoring of electrical grid frequency using PZEM-004T and ADE7753 modules with Arduino

High-quality and precise monitoring of electrical grid frequency is an indispensable and indispensable measure for maintaining the stability and quality of modern energy systems, especially in the context of renewables and smart gird applications. This article will examine the functions of two very high-tech measurement modules PZEM-004T and ADE7753, working with Arduino Uno WiFi Rev2, which will perform real-time frequency monitoring. A detailed comparative analysis has been done, which shows the modules' strengths and limitations in terms of accuracy, integration complexity, cost-effectiveness, and application scope. The PZEM-004T module is the most straightforward, cheap, and simple choice for residential and IoT technologies-based energy management setups, thus giving a sufficient degree of general monitoring tasks. On the other hand, the ADE7753 demonstrates the superior precision that along with advanced functions such as power quality analysis and overload detection guarantees its suitability for the industrial sector that requires strict energy monitoring. The modules have the Arduino boards as the main microcontrollers through which data can be bounced, stored, and displayed on LCD, OLED, or web-based platforms providing remote access via IoT technologies. Through the results, these modules are shown to be adaptable to different energy management needs, which can vary from cost-saving solutions to home automation and high precision in industrial monitoring systems. The plant's goal is to increase the degree of their interconnectivity so that they may be used in smart microgrids where scalability, real-time analytics, and energy optimation will be the drivers.

Authors

Publication Details

Journal
STUDIES IN ENGINEERING AND EXACT SCIENCES
Published
2024-12-11
DOI
https://doi.org/10.54021/seesv5n2-733
Primary Topic
Smart Grid Energy Management
Type
article
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article

Precise and reliable monitoring of electrical grid frequency using PZEM-004T and ADE7753 modules with Arduino

Zakaria Layate, Hakim Ait Said, Lydia Terki, M. Kaci et al.
STUDIES IN ENGINEERING AND EXACT SCIENCES
Smart Grid Energy Management
article

Precise and reliable monitoring of electrical grid frequency using PZEM-004T and ADE7753 modules with Arduino

Zakaria Layate, Hakim Ait Said, Lydia Terki, M. Kaci, Mahmoud Salem, Sofiane Amrane
article en

Abstract

High-quality and precise monitoring of electrical grid frequency is an indispensable and indispensable measure for maintaining the stability and quality of modern energy systems, especially in the context of renewables and smart gird applications. This article will examine the functions of two very high-tech measurement modules PZEM-004T and ADE7753, working with Arduino Uno WiFi Rev2, which will perform real-time frequency monitoring. A detailed comparative analysis has been done, which shows the modules' strengths and limitations in terms of accuracy, integration complexity, cost-effectiveness, and application scope. The PZEM-004T module is the most straightforward, cheap, and simple choice for residential and IoT technologies-based energy management setups, thus giving a sufficient degree of general monitoring tasks. On the other hand, the ADE7753 demonstrates the superior precision that along with advanced functions such as power quality analysis and overload detection guarantees its suitability for the industrial sector that requires strict energy monitoring. The modules have the Arduino boards as the main microcontrollers through which data can be bounced, stored, and displayed on LCD, OLED, or web-based platforms providing remote access via IoT technologies. Through the results, these modules are shown to be adaptable to different energy management needs, which can vary from cost-saving solutions to home automation and high precision in industrial monitoring systems. The plant's goal is to increase the degree of their interconnectivity so that they may be used in smart microgrids where scalability, real-time analytics, and energy optimation will be the drivers.

STUDIES IN ENGINEERING AND EXACT SCIENCESVol. 5(2)
Affordable and clean energy
Openalex Percentile: Top 79%
Smart Grid Energy Management
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