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2000
Volume 18, Issue 8
  • ISSN: 2352-0965
  • E-ISSN: 2352-0973

Abstract

Background

In electrical systems, power quality is crucial for delivering stable and high-quality power to consumers. Analyzers of power quality (PQAs) are essential for identifying and resolving power quality issues. In order to enhance the capabilities and efficiency of a PQA, a Field Programmable Gate Array (FPGA) may be used. The FPGA acts as the central component for real-time processing and analysis. It provides a versatile and programmable solution.

Aims

This study aims to develop affordable solutions for improving power quality in electrical systems, with potential applications in various industrial and commercial settings.

Methods

There are several key components and stages involved in the design of the Power Quality Analyzer. In addition to ensuring stable operation, the power supply board also measures power and voltage deviations, harmonic analysis, flickering, voltage sags, voltage swells, waveform distortions, and live load variations across the phases. In the analyzer, the FPGA board facilitates the real-time processing of collected data. Keysight VEE Pro software is used to analyze the data on a PC. In this way, power quality issues can be comprehensively evaluated.

Results

The implemented Power Quality Analyzer employs the FPGA as its core processing unit and proves to be very useful. It provides accurate measurements and insights into the performance of electrical systems by detecting and analyzing various power quality issues. The proposed design provides better results when compared with the Fluke model 1736 analyzer. In addition, its cost-effective nature makes it an attractive solution for practical applications.

Conclusion

In conclusion, a Field Programmable Gate Array is a promising and effective approach for designing a Power Quality Analyzer. This system provides accurate measurements and real-time analysis of various power quality issues. A comparison with existing analyzers, specifically the Fluke model 1736, reveals the improved performance of the proposed PQA.

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2024-06-19
2025-11-15
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