On Data Compression Algorithms for Power Measurements in Distributed Energy Systems

Paolo Bellagente

Abstract

The diffusion of renewable energy sources is heavily affecting all aspects of modern power grids equipped by distributed energy resources and Battery Energy Storage Systems. Suitable Key Performance Indicators (KPI) have been developed, to find optimal storage capacity and control algorithms, which are resulted to be really dependent on data recording time interval. The aim of this paper is to analyze, on real data, which effect the time resolution of measurement data has on energy KPIs and to investigate how to select a proper compression algorithm to enhance the efficiency of the data collection process. Results shows that the KPI will be underestimated by the 40% if the sampling time rises from 5 s to 10 s, making lossy algorithms not interesting. Furthermore, lossless compression algorithms are effective but the tuning of those algorithms is all but intuitive.

Download

IMEKO-TC4-2022-07.pdf

DOI

10.21014/tc4-2022.07

IMEKO TC

TC4 - Measurement of Electrical Quantities

Back to the proceedings