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

Mohammed Seifu Kemal; Rasmus Løvenstein Olsen; Hans-Peter Schwefel

doi:10.1109/ICCW.2018.8403786

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

Mohammed Seifu Kemal, Rasmus Løvenstein Olsen, Hans-Peter Schwefel

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

4 Citations (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 language	English
Title of host publication	2018 IEEE International Conference on Communications Workshops, ICC Workshops 2018 - Proceedings
Number of pages	6
Publisher	IEEE
Publication date	28 Feb 2018
Pages	1-6
ISBN (Print)	978-1-5386-4329-7
ISBN (Electronic)	978-1-5386-4328-0
DOIs	https://doi.org/10.1109/ICCW.2018.8403786
Publication status	Published - 28 Feb 2018
Event	2018 IEEE International Conference on Communications Workshops (ICC Workshops) - Kansas, United States Duration: 20 May 2018 → 24 May 2018

Conference

Conference	2018 IEEE International Conference on Communications Workshops (ICC Workshops)
Country/Territory	United States
City	Kansas
Period	20/05/2018 → 24/05/2018

Keywords

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

Access to Document

10.1109/ICCW.2018.8403786

AUB Link

Search for the material in Aalborg University Library's search engine

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, QOS, Voltage quality monitoring, AMI, Information quality monitoring, Smart Grid",

author = "Kemal, {Mohammed Seifu} and Olsen, {Rasmus L{\o}venstein} and Hans-Peter Schwefel",

year = "2018",

month = feb,

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 2018 - Proceedings",

publisher = "IEEE",

address = "United States",

note = "2018 IEEE International Conference on Communications Workshops (ICC Workshops), ICC Workshops ; Conference date: 20-05-2018 Through 24-05-2018",

}

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

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-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

KW - QOS

KW - Voltage quality monitoring

KW - AMI

KW - Information quality monitoring

KW - Smart Grid

UR - http://www.scopus.com/inward/record.url?scp=85050266237&partnerID=8YFLogxK

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 2018 - Proceedings

PB - IEEE

T2 - 2018 IEEE International Conference on Communications Workshops (ICC Workshops)

Y2 - 20 May 2018 through 24 May 2018

ER -

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

Abstract

Conference

Keywords

Access to Document

AUB Link

Other files and links

Fingerprint

Cite this