FDST‐based PQ event detection and energy metering implementation on FPGA‐in‐the‐loop and NI‐LabVIEW. Issue 4 (1st July 2017)

• Record Type: Journal Article
• Authors: Jaiswal, Supriya; Ballal, Makarand S.
• Is Part Of: IET science, measurement & technology. Volume 11:Issue 4(2017)
• Page Start: 453
• Page End: 463
• Publication Date: 2017-07-01
• Subjects: fast Fourier transforms -- smart meters -- power meters -- field programmable gate arrays -- mathematics computing -- virtual instrumentation -- data loggers; fast discrete Stockwell transform -- power quality‐event detection -- energy‐metering algorithm -- fast Fourier transform -- filter‐based design -- smart energy meter -- NI‐LabVIEW -- field programmable gate array -- MATLAB -- ALTERA Cyclone IV E FPGA board -- SEM virtual instrument -- loss evaluation -- data logging -- remote control access; Measurement -- Periodicals; Electrical engineering -- Periodicals; Electronics -- Periodicals; Nanotechnology -- Periodicals; Electromagnetism -- Periodicals; Medical instruments and apparatus -- Periodicals; 621.3
• DOI: 10.1049/iet-smt.2016.0481
• Languages: English
• ISSNs: 1751-8822

Abstract

Abstract : Power quality (PQ) is crucial parameter in determining the robustness and accuracy of any energy‐metering algorithm. It immensely affects the performance of energy meters in terms of measurement accuracy. This study presents digital implementation of fast discrete Stockwell transform (FDST) with automatic scaling for accurate PQ‐event detection (ED) and energy metering. Comparative analysis of FDST‐based energy‐metering algorithm is carried out with existing algorithms such as fast Fourier transform and filter‐based design. The results demonstrate that FDST‐based energy‐metering algorithm surpasses existing algorithms in terms of accuracy, complexity, and adaptability under PQ events. In addition, new statistical features are proposed to classify and measure PQ events. The real‐time implementation of the proposed FDST‐based smart energy meter (SEM) is performed in national instruments (NI) laboratory virtual instrument engineering workbench (LabVIEW) and validated through field programmable gate array (FPGA)‐in‐the‐loop using MATLAB and Altera Cyclone IV E FPGA board. The experimental results show satisfactory performance in terms of accuracy and resource utilisation. The effect of PQ events over energy metering is evaluated in terms of percentage loss in billing units. The features of the proposed SEM virtual instrument are real‐time accurate PQ‐ED, energy metering, loss evaluation, data logging, and remote control access.