ESP32 Based Detection and Monitoring System of Power Quality in Electrical Networks

In this article, we propose an ESP 32-based system for the detection and monitoring of disturbances in electrical systems. The widespread implementation of electronic circuits for energy conversion often results in distorted signals, which can adversely affect the power network and impact other consumers. To address this issue, we have developed a system capable of characterizing these distorted signals, serving as an effective tool for both practical applications and educational purposes. This system enables real-time signal acquisition and analysis, providing valuable insights into the nature of electrical disturbances. The integration of Arduino technology enhances accessibility and facilitates hands-on learning experiences for students in the field of electrical engineering.

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2024-10-01
Primary Topic
Electricity Theft Detection Techniques
Type
article
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article

ESP32 Based Detection and Monitoring System of Power Quality in Electrical Networks

SHILAP Revista de lepidopterología
Electricity Theft Detection Techniques
article

ESP32 Based Detection and Monitoring System of Power Quality in Electrical Networks

article en

Abstract

In this article, we propose an ESP 32-based system for the detection and monitoring of disturbances in electrical systems. The widespread implementation of electronic circuits for energy conversion often results in distorted signals, which can adversely affect the power network and impact other consumers. To address this issue, we have developed a system capable of characterizing these distorted signals, serving as an effective tool for both practical applications and educational purposes. This system enables real-time signal acquisition and analysis, providing valuable insights into the nature of electrical disturbances. The integration of Arduino technology enhances accessibility and facilitates hands-on learning experiences for students in the field of electrical engineering.

SHILAP Revista de lepidopterología
Affordable and clean energy
Openalex Percentile: Top 64%
Electricity Theft Detection Techniques
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ESP32 Based Detection and Monitoring System of Power Quality in Electrical Networks · SHILAP Revista de lepidopterología (2024) | TGRS Research Map | TGRS