A Method for Modeling Time Delay-Related Measurement Errors, Applicable in Power and Energy Monitoring and in Fault Detection Algorithms for Energy Grids
This paper presents a proposed error model for the signal errors resulting from delays in the measurement chain. The analysis focuses on the uncertainty budget of the input quantities in the digital signal-processing algorithm, examining the influence of delays in the analog-to-digital processing st...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-07-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/18/13/3524 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850118765075759104 |
|---|---|
| author | Marian Kampik Łukasz Dróżdż Jerzy Roj |
| author_facet | Marian Kampik Łukasz Dróżdż Jerzy Roj |
| author_sort | Marian Kampik |
| collection | DOAJ |
| description | This paper presents a proposed error model for the signal errors resulting from delays in the measurement chain. The analysis focuses on the uncertainty budget of the input quantities in the digital signal-processing algorithm, examining the influence of delays in the analog-to-digital processing stage on the uncertainty of these quantities. A classification of delays, based on their properties and the nature of the error signal they generate, is proposed. In addition to the mathematical model and its verification through the Monte Carlo method, the paper discusses potential applications of the proposed analysis method for selected implementations of measurement chains. This method can be utilized for power and energy measurement, power grid fault detection, and the identification of short circuits, among other applications. |
| format | Article |
| id | doaj-art-baaeaba369d944bca99ce8bb53f9c1fb |
| institution | OA Journals |
| issn | 1996-1073 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj-art-baaeaba369d944bca99ce8bb53f9c1fb2025-08-20T02:35:47ZengMDPI AGEnergies1996-10732025-07-011813352410.3390/en18133524A Method for Modeling Time Delay-Related Measurement Errors, Applicable in Power and Energy Monitoring and in Fault Detection Algorithms for Energy GridsMarian Kampik0Łukasz Dróżdż1Jerzy Roj2Department of Measurement Science, Electronics and Control, Silesian University of Technology, ul. Akademicka 10, 44-100 Gliwice, PolandDepartment of Measurement Science, Electronics and Control, Silesian University of Technology, ul. Akademicka 10, 44-100 Gliwice, PolandDepartment of Measurement Science, Electronics and Control, Silesian University of Technology, ul. Akademicka 10, 44-100 Gliwice, PolandThis paper presents a proposed error model for the signal errors resulting from delays in the measurement chain. The analysis focuses on the uncertainty budget of the input quantities in the digital signal-processing algorithm, examining the influence of delays in the analog-to-digital processing stage on the uncertainty of these quantities. A classification of delays, based on their properties and the nature of the error signal they generate, is proposed. In addition to the mathematical model and its verification through the Monte Carlo method, the paper discusses potential applications of the proposed analysis method for selected implementations of measurement chains. This method can be utilized for power and energy measurement, power grid fault detection, and the identification of short circuits, among other applications.https://www.mdpi.com/1996-1073/18/13/3524time delay-related erroruncertainty estimationerror modeldynamic errorrandom errordigital signal processing |
| spellingShingle | Marian Kampik Łukasz Dróżdż Jerzy Roj A Method for Modeling Time Delay-Related Measurement Errors, Applicable in Power and Energy Monitoring and in Fault Detection Algorithms for Energy Grids Energies time delay-related error uncertainty estimation error model dynamic error random error digital signal processing |
| title | A Method for Modeling Time Delay-Related Measurement Errors, Applicable in Power and Energy Monitoring and in Fault Detection Algorithms for Energy Grids |
| title_full | A Method for Modeling Time Delay-Related Measurement Errors, Applicable in Power and Energy Monitoring and in Fault Detection Algorithms for Energy Grids |
| title_fullStr | A Method for Modeling Time Delay-Related Measurement Errors, Applicable in Power and Energy Monitoring and in Fault Detection Algorithms for Energy Grids |
| title_full_unstemmed | A Method for Modeling Time Delay-Related Measurement Errors, Applicable in Power and Energy Monitoring and in Fault Detection Algorithms for Energy Grids |
| title_short | A Method for Modeling Time Delay-Related Measurement Errors, Applicable in Power and Energy Monitoring and in Fault Detection Algorithms for Energy Grids |
| title_sort | method for modeling time delay related measurement errors applicable in power and energy monitoring and in fault detection algorithms for energy grids |
| topic | time delay-related error uncertainty estimation error model dynamic error random error digital signal processing |
| url | https://www.mdpi.com/1996-1073/18/13/3524 |
| work_keys_str_mv | AT mariankampik amethodformodelingtimedelayrelatedmeasurementerrorsapplicableinpowerandenergymonitoringandinfaultdetectionalgorithmsforenergygrids AT łukaszdrozdz amethodformodelingtimedelayrelatedmeasurementerrorsapplicableinpowerandenergymonitoringandinfaultdetectionalgorithmsforenergygrids AT jerzyroj amethodformodelingtimedelayrelatedmeasurementerrorsapplicableinpowerandenergymonitoringandinfaultdetectionalgorithmsforenergygrids AT mariankampik methodformodelingtimedelayrelatedmeasurementerrorsapplicableinpowerandenergymonitoringandinfaultdetectionalgorithmsforenergygrids AT łukaszdrozdz methodformodelingtimedelayrelatedmeasurementerrorsapplicableinpowerandenergymonitoringandinfaultdetectionalgorithmsforenergygrids AT jerzyroj methodformodelingtimedelayrelatedmeasurementerrorsapplicableinpowerandenergymonitoringandinfaultdetectionalgorithmsforenergygrids |