Optimized Scheduling of Smart Meter Data Access: A Parametric Study

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

Abstract

Smart meter data is usually accessed periodically
with low time granularity, which creates limitations for near
real-time information. This paper first introduces information
quality metrics that can be used to optimize real-time data
access to smart meter data. Then, a systematic parametric
study assesses the impact of smart meter access scheduling on
information quality. Finally, the paper evaluates a previously
proposed heuristic optimization of scheduling of smart meter data
access. The result shows that the heuristic optimization algorithm
in all investigated scenarios shows less than 15% degradation as
compared to the achievable best schedule.
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Details

Smart meter data is usually accessed periodically
with low time granularity, which creates limitations for near
real-time information. This paper first introduces information
quality metrics that can be used to optimize real-time data
access to smart meter data. Then, a systematic parametric
study assesses the impact of smart meter access scheduling on
information quality. Finally, the paper evaluates a previously
proposed heuristic optimization of scheduling of smart meter data
access. The result shows that the heuristic optimization algorithm
in all investigated scenarios shows less than 15% degradation as
compared to the achievable best schedule.
Original languageEnglish
Title of host publication2018 IEEE SmartGridComm
PublisherIEEE
Publication date29 Oct 2018
Publication statusPublished - 29 Oct 2018
Publication categoryResearch
Peer-reviewedYes

    Research areas

  • Smart Grid, adaptive scheduling, AMI, QoS, information quality, voltage quality monitoring
ID: 287120123