Optimized Scheduling of Smart Meter Data Access for Real-time Voltage Quality Monitoring

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

1 Citation (Scopus)

Abstract

Abstract—Active low-voltage distribution grids that support
high integration of distributed generation such as photovoltaics
and wind turbines require real-time voltage monitoring. At the
same time, countries in Europe such as Denmark have close to
100% rollout of smart metering infrastructure. The metering
infrastructure has limitations to provide real-time measurements
with small-time granularity. This paper presents an algorithm
for optimized scheduling of smart meter data access to provide
real-time voltage quality monitoring. The algorithm is analyzed
using a real distribution grid in Denmark. Results show improved
information quality for real-time monitoring in comparison to
heuristically chosen scheduling mechanisms.
Original languageEnglish
Title of host publication2018 IEEE International Conference on Communications Workshops (ICC Workshops)
Number of pages6
PublisherIEEE
Publication date28 Feb 2018
Pages1-6
ISBN (Print)978-1-5386-4329-7
ISBN (Electronic)978-1-5386-4328-0
DOIs
Publication statusPublished - 28 Feb 2018
Event2018 IEEE International Conference on Communications Workshops (ICC Workshops) - Kansas, United States
Duration: 20 May 201824 May 2018

Conference

Conference2018 IEEE International Conference on Communications Workshops (ICC Workshops)
CountryUnited States
CityKansas
Period20/05/201824/05/2018

Fingerprint

Smart meters
Scheduling
Monitoring
Electric potential
Distributed power generation
Wind turbines

Keywords

  • Smart Grid, Adaptive scheduling, AMI, QOS, Information quality monitoring, voltage quality monitoring
  • Adaptive scheduling

Cite this

@inproceedings{def313f359d941519cab49862147147b,
title = "Optimized Scheduling of Smart Meter Data Access for Real-time Voltage Quality Monitoring",
abstract = "Abstract—Active low-voltage distribution grids that supporthigh integration of distributed generation such as photovoltaicsand wind turbines require real-time voltage monitoring. At thesame time, countries in Europe such as Denmark have close to100{\%} rollout of smart metering infrastructure. The meteringinfrastructure has limitations to provide real-time measurementswith small-time granularity. This paper presents an algorithmfor optimized scheduling of smart meter data access to providereal-time voltage quality monitoring. The algorithm is analyzedusing a real distribution grid in Denmark. Results show improvedinformation quality for real-time monitoring in comparison toheuristically chosen scheduling mechanisms.",
keywords = "Smart Grid, Adaptive scheduling, AMI, QOS, Information quality monitoring, voltage quality monitoring, Adaptive scheduling",
author = "Kemal, {Mohammed Seifu} and Olsen, {Rasmus L{\o}venstein} and Hans-Peter Schwefel",
year = "2018",
month = "2",
day = "28",
doi = "10.1109/ICCW.2018.8403786",
language = "English",
isbn = "978-1-5386-4329-7",
pages = "1--6",
booktitle = "2018 IEEE International Conference on Communications Workshops (ICC Workshops)",
publisher = "IEEE",
address = "United States",

}

Kemal, MS, Olsen, RL & Schwefel, H-P 2018, Optimized Scheduling of Smart Meter Data Access for Real-time Voltage Quality Monitoring. in 2018 IEEE International Conference on Communications Workshops (ICC Workshops). IEEE, pp. 1-6, 2018 IEEE International Conference on Communications Workshops (ICC Workshops), Kansas, United States, 20/05/2018. https://doi.org/10.1109/ICCW.2018.8403786

Optimized Scheduling of Smart Meter Data Access for Real-time Voltage Quality Monitoring. / Kemal, Mohammed Seifu; Olsen, Rasmus Løvenstein; Schwefel, Hans-Peter.

2018 IEEE International Conference on Communications Workshops (ICC Workshops). IEEE, 2018. p. 1-6.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

TY - GEN

T1 - Optimized Scheduling of Smart Meter Data Access for Real-time Voltage Quality Monitoring

AU - Kemal, Mohammed Seifu

AU - Olsen, Rasmus Løvenstein

AU - Schwefel, Hans-Peter

PY - 2018/2/28

Y1 - 2018/2/28

N2 - Abstract—Active low-voltage distribution grids that supporthigh integration of distributed generation such as photovoltaicsand wind turbines require real-time voltage monitoring. At thesame time, countries in Europe such as Denmark have close to100% rollout of smart metering infrastructure. The meteringinfrastructure has limitations to provide real-time measurementswith small-time granularity. This paper presents an algorithmfor optimized scheduling of smart meter data access to providereal-time voltage quality monitoring. The algorithm is analyzedusing a real distribution grid in Denmark. Results show improvedinformation quality for real-time monitoring in comparison toheuristically chosen scheduling mechanisms.

AB - Abstract—Active low-voltage distribution grids that supporthigh integration of distributed generation such as photovoltaicsand wind turbines require real-time voltage monitoring. At thesame time, countries in Europe such as Denmark have close to100% rollout of smart metering infrastructure. The meteringinfrastructure has limitations to provide real-time measurementswith small-time granularity. This paper presents an algorithmfor optimized scheduling of smart meter data access to providereal-time voltage quality monitoring. The algorithm is analyzedusing a real distribution grid in Denmark. Results show improvedinformation quality for real-time monitoring in comparison toheuristically chosen scheduling mechanisms.

KW - Smart Grid, Adaptive scheduling, AMI, QOS, Information quality monitoring, voltage quality monitoring

KW - Adaptive scheduling

U2 - 10.1109/ICCW.2018.8403786

DO - 10.1109/ICCW.2018.8403786

M3 - Article in proceeding

SN - 978-1-5386-4329-7

SP - 1

EP - 6

BT - 2018 IEEE International Conference on Communications Workshops (ICC Workshops)

PB - IEEE

ER -