Experimental Quantification of Hardware Requirements for FPGA-Based Reconfigurable PMUs

Phasor Measurement Units (PMUs) are becoming intrinsic components of modern power systems. The synchrophasor estimation algorithms in PMUs pose stringent computational demands, which makes the application of Field Programmable Gate Arrays (FPGA) highly attractive. Previous works reported the impleme...

Full description

Bibliographic Details
Main Authors: Prottay M. Adhikari, Hossein Hooshyar, Luigi Vanfretti
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8693773/
id doaj-46b4c9a3b5f842a2bcd4e590b80f8710
record_format Article
spelling doaj-46b4c9a3b5f842a2bcd4e590b80f87102021-03-29T22:17:22ZengIEEEIEEE Access2169-35362019-01-017575275753810.1109/ACCESS.2019.29119168693773Experimental Quantification of Hardware Requirements for FPGA-Based Reconfigurable PMUsProttay M. Adhikari0https://orcid.org/0000-0003-3688-8948Hossein Hooshyar1Luigi Vanfretti2Department of Electrical Computer and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY, USAElectric Power Research Institute, White Plains, NY, USADepartment of Electrical Computer and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY, USAPhasor Measurement Units (PMUs) are becoming intrinsic components of modern power systems. The synchrophasor estimation algorithms in PMUs pose stringent computational demands, which makes the application of Field Programmable Gate Arrays (FPGA) highly attractive. Previous works reported the implementation of PMU algorithms on specific FPGA-targets using a particular PMU design. This paper explores the implementation of different PMU designs on multiple FPGA targets using Xilinx and NI software and hardware infrastructures and toolsets. In this process, a metric has been formulated to predict FPGA-target hardware requirements. The metric allows predicting if an FPGA-target meets the needs to deploy a given PMU design resulting in significant engineering design time savings. Since the compilation/synthesis on FPGAs is a time-consuming job, this metric can reduce the implementation time for FPGA-based PMUs drastically and can help in determining if additional functionalities can be added.https://ieeexplore.ieee.org/document/8693773/Phasor measurement unitfield programmable gate array
collection DOAJ
language English
format Article
sources DOAJ
author Prottay M. Adhikari
Hossein Hooshyar
Luigi Vanfretti
spellingShingle Prottay M. Adhikari
Hossein Hooshyar
Luigi Vanfretti
Experimental Quantification of Hardware Requirements for FPGA-Based Reconfigurable PMUs
IEEE Access
Phasor measurement unit
field programmable gate array
author_facet Prottay M. Adhikari
Hossein Hooshyar
Luigi Vanfretti
author_sort Prottay M. Adhikari
title Experimental Quantification of Hardware Requirements for FPGA-Based Reconfigurable PMUs
title_short Experimental Quantification of Hardware Requirements for FPGA-Based Reconfigurable PMUs
title_full Experimental Quantification of Hardware Requirements for FPGA-Based Reconfigurable PMUs
title_fullStr Experimental Quantification of Hardware Requirements for FPGA-Based Reconfigurable PMUs
title_full_unstemmed Experimental Quantification of Hardware Requirements for FPGA-Based Reconfigurable PMUs
title_sort experimental quantification of hardware requirements for fpga-based reconfigurable pmus
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2019-01-01
description Phasor Measurement Units (PMUs) are becoming intrinsic components of modern power systems. The synchrophasor estimation algorithms in PMUs pose stringent computational demands, which makes the application of Field Programmable Gate Arrays (FPGA) highly attractive. Previous works reported the implementation of PMU algorithms on specific FPGA-targets using a particular PMU design. This paper explores the implementation of different PMU designs on multiple FPGA targets using Xilinx and NI software and hardware infrastructures and toolsets. In this process, a metric has been formulated to predict FPGA-target hardware requirements. The metric allows predicting if an FPGA-target meets the needs to deploy a given PMU design resulting in significant engineering design time savings. Since the compilation/synthesis on FPGAs is a time-consuming job, this metric can reduce the implementation time for FPGA-based PMUs drastically and can help in determining if additional functionalities can be added.
topic Phasor measurement unit
field programmable gate array
url https://ieeexplore.ieee.org/document/8693773/
work_keys_str_mv AT prottaymadhikari experimentalquantificationofhardwarerequirementsforfpgabasedreconfigurablepmus
AT hosseinhooshyar experimentalquantificationofhardwarerequirementsforfpgabasedreconfigurablepmus
AT luigivanfretti experimentalquantificationofhardwarerequirementsforfpgabasedreconfigurablepmus
_version_ 1724191941021663232