Assessing the impact of measurement artifacts on energy loss calculation in electrical distribution grids

Imad Antonios*, Hans-Peter Schwefel

*Corresponding author for this work

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

Abstract

Monitoring of electrical distribution grids requires the joint processing of electrical measurements from different grid locations. Such type of processing is influenced by inaccuracies in measurement data originating from measurement errors, non-ideal clocks in measurement devices, and from time averaging of measurands as part of the data collection process. This paper introduces an approach to assess the impact of these three different measurement artifacts in realistic measurement scenarios of electrical distribution grids. A case study of power loss calculation in a real-life medium-voltage grid is presented, covering both technical loss obtained from current measurement and total loss obtained from power measurements. The results show that total loss in general is more robust to aggregation of power measurements over longer measurement intervals, while it is more sensitive to measurement errors and clock offsets. The results of the study are important for quantifying the trustworthiness of the obtained loss values and for the future enhancement of the measurement data collection process.

Original languageEnglish
Title of host publicatione-Energy 2023 - Proceedings of the 2023 14th ACM International Conference on Future Energy Systems
Number of pages8
PublisherAssociation for Computing Machinery
Publication date20 Jun 2023
Pages22-29
ISBN (Print)979-8-4007-0032-3
ISBN (Electronic)979-8-4007-0032-3
DOIs
Publication statusPublished - 20 Jun 2023
Event14th ACM International Conference on Future Energy Systems, e-Energy 2023 - Orlando, United States
Duration: 20 Jun 202323 Jun 2023

Conference

Conference14th ACM International Conference on Future Energy Systems, e-Energy 2023
Country/TerritoryUnited States
CityOrlando
Period20/06/202323/06/2023
SponsorACM SIGEnergy

Keywords

  • Electricity distribution grids
  • Measurement errors
  • Monitoring
  • Energy loss
  • measurement errors
  • time alignment errors
  • aggregation errors
  • electricity distribution grids

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