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: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11007100/ |
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| Summary: | 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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| ISSN: | 2169-3536 |