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
- Event details
- IMEKO TC:
- TC4
- Event name:
- TC4 Symposium 2022
- Title:
25th IMEKO TC4 Symposium and 23nd International Workshop on ADC and DAC Modelling and Testing (IWADC)
- Place:
- Brescia, ITALY
- Time:
- 12 September 2022 - 14 September 2022