Implementation of Processing Functions for Autonomous Power Quality Measurement Equipment: A Performance Evaluation of CPU and FPGA-Based Embedded System

Motivated by the effects of deregulation over power quality and the subsequent need of new types of measurements, this paper assesses different implementations of an estimate for the spectral kurtosis, considered as a low-level harmonic detection. Performance of a processor-based system is compared...

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Main Authors: María-Ángeles Cifredo-Chacón, Fernando Perez-Peña, Ángel Quirós-Olozábal, Juan-José González-de-la-Rosa
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Energies
Subjects:
Online Access:http://www.mdpi.com/1996-1073/12/5/914
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author María-Ángeles Cifredo-Chacón
Fernando Perez-Peña
Ángel Quirós-Olozábal
Juan-José González-de-la-Rosa
author_facet María-Ángeles Cifredo-Chacón
Fernando Perez-Peña
Ángel Quirós-Olozábal
Juan-José González-de-la-Rosa
author_sort María-Ángeles Cifredo-Chacón
collection DOAJ
description Motivated by the effects of deregulation over power quality and the subsequent need of new types of measurements, this paper assesses different implementations of an estimate for the spectral kurtosis, considered as a low-level harmonic detection. Performance of a processor-based system is compared with a field programmable gate array (FPGA)-based solution, in order to evaluate the accuracy of this processing function for implementation in autonomous measurement equipment. The fourth-order spectrum, with applications in different fields, needs advanced digital signal processing, making it necessary to compare implementation alternatives. In order to obtain reproducible results, the implementations have been developed using common design and programming tools. Several characteristics of the implementations are compared, showing that the increasing complexity and reduced cost of the current FPGA models make the implementation of complex mathematical functions feasible. We show that FPGAs improve the processing capability of the best processor using an operating frequency 33 times lower. This fact strongly supports its implementation in hand-held instruments.
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spelling doaj.art-b76b7da57f414c22be4238b7ad0f5bdc2022-12-22T04:23:37ZengMDPI AGEnergies1996-10732019-03-0112591410.3390/en12050914en12050914Implementation of Processing Functions for Autonomous Power Quality Measurement Equipment: A Performance Evaluation of CPU and FPGA-Based Embedded SystemMaría-Ángeles Cifredo-Chacón0Fernando Perez-Peña1Ángel Quirós-Olozábal2Juan-José González-de-la-Rosa3Microelectronic Circuit Design Group, Escuela Superior de Ingeniería, University of Cádiz, Avda. de la Universidad 10, E-11519 Puerto Real-Cádiz, SpainApplied Robotics Lab, Escuela Superior de Ingeniería, University of Cádiz, Avda. de la Universidad 10, E-11519 Puerto Real-Cádiz, SpainMicroelectronic Circuit Design Group, Escuela Superior de Ingeniería, University of Cádiz, Avda. de la Universidad 10, E-11519 Puerto Real-Cádiz, SpainComputational Instrumentation and Industrial Electronics Group, Escuela Politécnica Superior, University of Cádiz, Avda. Ramón Puyol S/N, E-11202 Algeciras-Cádiz, SpainMotivated by the effects of deregulation over power quality and the subsequent need of new types of measurements, this paper assesses different implementations of an estimate for the spectral kurtosis, considered as a low-level harmonic detection. Performance of a processor-based system is compared with a field programmable gate array (FPGA)-based solution, in order to evaluate the accuracy of this processing function for implementation in autonomous measurement equipment. The fourth-order spectrum, with applications in different fields, needs advanced digital signal processing, making it necessary to compare implementation alternatives. In order to obtain reproducible results, the implementations have been developed using common design and programming tools. Several characteristics of the implementations are compared, showing that the increasing complexity and reduced cost of the current FPGA models make the implementation of complex mathematical functions feasible. We show that FPGAs improve the processing capability of the best processor using an operating frequency 33 times lower. This fact strongly supports its implementation in hand-held instruments.http://www.mdpi.com/1996-1073/12/5/914reconfigurable computingFPGApower qualityspectral kurtosisdigital signal processingembedded system
spellingShingle María-Ángeles Cifredo-Chacón
Fernando Perez-Peña
Ángel Quirós-Olozábal
Juan-José González-de-la-Rosa
Implementation of Processing Functions for Autonomous Power Quality Measurement Equipment: A Performance Evaluation of CPU and FPGA-Based Embedded System
Energies
reconfigurable computing
FPGA
power quality
spectral kurtosis
digital signal processing
embedded system
title Implementation of Processing Functions for Autonomous Power Quality Measurement Equipment: A Performance Evaluation of CPU and FPGA-Based Embedded System
title_full Implementation of Processing Functions for Autonomous Power Quality Measurement Equipment: A Performance Evaluation of CPU and FPGA-Based Embedded System
title_fullStr Implementation of Processing Functions for Autonomous Power Quality Measurement Equipment: A Performance Evaluation of CPU and FPGA-Based Embedded System
title_full_unstemmed Implementation of Processing Functions for Autonomous Power Quality Measurement Equipment: A Performance Evaluation of CPU and FPGA-Based Embedded System
title_short Implementation of Processing Functions for Autonomous Power Quality Measurement Equipment: A Performance Evaluation of CPU and FPGA-Based Embedded System
title_sort implementation of processing functions for autonomous power quality measurement equipment a performance evaluation of cpu and fpga based embedded system
topic reconfigurable computing
FPGA
power quality
spectral kurtosis
digital signal processing
embedded system
url http://www.mdpi.com/1996-1073/12/5/914
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