Data Quality Analysis and Solutions for Distribution-Level PMUs

Jin Tan; Jiecheng Zhao; Shutang You; He Yin; Yilu Liu

doi:10.1109/PESGM40551.2019.8973493

Data Quality Analysis and Solutions for Distribution-Level PMUs

Jin Tan, Jiecheng Zhao, Shutang You, He Yin, Yilu Liu

Power Systems Engineering

Research output: Contribution to conference › Paper › peer-review

6 Scopus Citations

Abstract

Synchrophasors provide promising enhancement to the distribution system monitoring. However, different from transmission systems, distribution systems are usually with higher noise, phase unbalance, and distributed energy resources. All of these could impair the data quality of distribution-level phasor measurement units (D-PMUs) and thus deteriorate the performance of D-PMU based applications. Therefore, the data quality of D-PMU should be evaluated to ensure the effectiveness of D-PMU based applications. In this paper, factors in distribution systems that could jeopardize D-PMU data quality are evaluated. The impact of data quality on D-PMU applications is analyzed. Finally, solutions are proposed to improve D-PMU data quality to satisfy these requirements. This work provides effective methods to improve the performance of distribution-level grid monitoring using synchrophasor measurements.

Original language	American English
Number of pages	5
DOIs	https://doi.org/10.1109/PESGM40551.2019.8973493 https://doi.org/10.1109/PESGM40551.2019.8973493
State	Published - Aug 2019
Event	2019 IEEE Power and Energy Society General Meeting, PESGM 2019 - Atlanta, United States Duration: 4 Aug 2019 → 8 Aug 2019

Conference

Conference	2019 IEEE Power and Energy Society General Meeting, PESGM 2019
Country/Territory	United States
City	Atlanta
Period	4/08/19 → 8/08/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

NREL Publication Number

NREL/CP-5D00-76222

Keywords

distributed generation
distribution power grids
frequency
measurement errors
phasor measurement units (PMUs)
synchrophasor

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

Cite this

@conference{906cc1cc965a44f8b94a529aae94ac14,

title = "Data Quality Analysis and Solutions for Distribution-Level PMUs",

abstract = "Synchrophasors provide promising enhancement to the distribution system monitoring. However, different from transmission systems, distribution systems are usually with higher noise, phase unbalance, and distributed energy resources. All of these could impair the data quality of distribution-level phasor measurement units (D-PMUs) and thus deteriorate the performance of D-PMU based applications. Therefore, the data quality of D-PMU should be evaluated to ensure the effectiveness of D-PMU based applications. In this paper, factors in distribution systems that could jeopardize D-PMU data quality are evaluated. The impact of data quality on D-PMU applications is analyzed. Finally, solutions are proposed to improve D-PMU data quality to satisfy these requirements. This work provides effective methods to improve the performance of distribution-level grid monitoring using synchrophasor measurements.",

keywords = "distributed generation, distribution power grids, frequency, measurement errors, phasor measurement units (PMUs), synchrophasor",

author = "Jin Tan and Jiecheng Zhao and Shutang You and He Yin and Yilu Liu",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE Power and Energy Society General Meeting, PESGM 2019 ; Conference date: 04-08-2019 Through 08-08-2019",

year = "2019",

month = aug,

doi = "10.1109/PESGM40551.2019.8973493",

language = "American English",

}

TY - CONF

T1 - Data Quality Analysis and Solutions for Distribution-Level PMUs

AU - Tan, Jin

AU - Zhao, Jiecheng

AU - You, Shutang

AU - Yin, He

AU - Liu, Yilu

PY - 2019/8

Y1 - 2019/8

N2 - Synchrophasors provide promising enhancement to the distribution system monitoring. However, different from transmission systems, distribution systems are usually with higher noise, phase unbalance, and distributed energy resources. All of these could impair the data quality of distribution-level phasor measurement units (D-PMUs) and thus deteriorate the performance of D-PMU based applications. Therefore, the data quality of D-PMU should be evaluated to ensure the effectiveness of D-PMU based applications. In this paper, factors in distribution systems that could jeopardize D-PMU data quality are evaluated. The impact of data quality on D-PMU applications is analyzed. Finally, solutions are proposed to improve D-PMU data quality to satisfy these requirements. This work provides effective methods to improve the performance of distribution-level grid monitoring using synchrophasor measurements.

AB - Synchrophasors provide promising enhancement to the distribution system monitoring. However, different from transmission systems, distribution systems are usually with higher noise, phase unbalance, and distributed energy resources. All of these could impair the data quality of distribution-level phasor measurement units (D-PMUs) and thus deteriorate the performance of D-PMU based applications. Therefore, the data quality of D-PMU should be evaluated to ensure the effectiveness of D-PMU based applications. In this paper, factors in distribution systems that could jeopardize D-PMU data quality are evaluated. The impact of data quality on D-PMU applications is analyzed. Finally, solutions are proposed to improve D-PMU data quality to satisfy these requirements. This work provides effective methods to improve the performance of distribution-level grid monitoring using synchrophasor measurements.

KW - distributed generation

KW - distribution power grids

KW - frequency

KW - measurement errors

KW - phasor measurement units (PMUs)

KW - synchrophasor

UR - http://www.scopus.com/inward/record.url?scp=85074898978&partnerID=8YFLogxK

U2 - 10.1109/PESGM40551.2019.8973493

DO - 10.1109/PESGM40551.2019.8973493

M3 - Paper

AN - SCOPUS:85074898978

T2 - 2019 IEEE Power and Energy Society General Meeting, PESGM 2019

Y2 - 4 August 2019 through 8 August 2019

ER -

Data Quality Analysis and Solutions for Distribution-Level PMUs

Abstract

Conference

Bibliographical note

NREL Publication Number

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this