Zero‐Sequence current measurement uncertainty in three‐phase power systems during normal operation
Abstract Zero‐sequence currents in high‐voltage power systems during normal operation can have a significant influence on nearby infrastructure. It is therefore necessary to gain insight into typical levels of zero‐sequence currents in a variety of operational situations. Measurements can provide th...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-12-01
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| Series: | IET Generation, Transmission & Distribution |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/gtd2.12254 |
| _version_ | 1811266868979171328 |
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| author | Sjoerd Nauta Ramiro Serra |
| author_facet | Sjoerd Nauta Ramiro Serra |
| author_sort | Sjoerd Nauta |
| collection | DOAJ |
| description | Abstract Zero‐sequence currents in high‐voltage power systems during normal operation can have a significant influence on nearby infrastructure. It is therefore necessary to gain insight into typical levels of zero‐sequence currents in a variety of operational situations. Measurements can provide this insight. When performing measurements, one needs to know the uncertainty associated with the measurement to draw accurate conclusions. The measurement uncertainty associated with three different practical strategies to measure zero‐sequence currents during normal operation are studied: a direct and indirect measurement strategy using current clamps and oscilloscopes and a measurement strategy using phasor measurement units (PMU). Measurement uncertainty is studied using two methods: by analytical expressions and by Monte Carlo simulations. Both methods give consistent outcomes for the measurement uncertainty and show the same tendencies of the zero‐sequence current measurement uncertainty as a function of the positive‐sequence current. This paper studies measurement strategies with error sources based on realistic measurement devices that could be used in practice. The following outcomes were found: in the direct strategy, the primary current transformers are the largest uncertainty sources; in the indirect strategy, the current clamps are the largest uncertainty sources; in the PMU strategy, the PMU total vector error is the largest uncertainty source. |
| first_indexed | 2024-04-12T20:51:13Z |
| format | Article |
| id | doaj.art-21109b3329604ea583afcd8362ebd9cb |
| institution | Directory Open Access Journal |
| issn | 1751-8687 1751-8695 |
| language | English |
| last_indexed | 2024-04-12T20:51:13Z |
| publishDate | 2021-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Generation, Transmission & Distribution |
| spelling | doaj.art-21109b3329604ea583afcd8362ebd9cb2022-12-22T03:17:07ZengWileyIET Generation, Transmission & Distribution1751-86871751-86952021-12-0115243450345810.1049/gtd2.12254Zero‐Sequence current measurement uncertainty in three‐phase power systems during normal operationSjoerd Nauta0Ramiro Serra1Eindhoven University of Technology Department of Electrical Engineering Eindhoven the NetherlandsEindhoven University of Technology Department of Electrical Engineering Eindhoven the NetherlandsAbstract Zero‐sequence currents in high‐voltage power systems during normal operation can have a significant influence on nearby infrastructure. It is therefore necessary to gain insight into typical levels of zero‐sequence currents in a variety of operational situations. Measurements can provide this insight. When performing measurements, one needs to know the uncertainty associated with the measurement to draw accurate conclusions. The measurement uncertainty associated with three different practical strategies to measure zero‐sequence currents during normal operation are studied: a direct and indirect measurement strategy using current clamps and oscilloscopes and a measurement strategy using phasor measurement units (PMU). Measurement uncertainty is studied using two methods: by analytical expressions and by Monte Carlo simulations. Both methods give consistent outcomes for the measurement uncertainty and show the same tendencies of the zero‐sequence current measurement uncertainty as a function of the positive‐sequence current. This paper studies measurement strategies with error sources based on realistic measurement devices that could be used in practice. The following outcomes were found: in the direct strategy, the primary current transformers are the largest uncertainty sources; in the indirect strategy, the current clamps are the largest uncertainty sources; in the PMU strategy, the PMU total vector error is the largest uncertainty source.https://doi.org/10.1049/gtd2.12254Probability theory, stochastic processes, and statisticsMeasurement and error theoryElectrical instruments and techniquesDisplay, recording and indicating instrumentsMonte Carlo methodsCurrent measurement |
| spellingShingle | Sjoerd Nauta Ramiro Serra Zero‐Sequence current measurement uncertainty in three‐phase power systems during normal operation IET Generation, Transmission & Distribution Probability theory, stochastic processes, and statistics Measurement and error theory Electrical instruments and techniques Display, recording and indicating instruments Monte Carlo methods Current measurement |
| title | Zero‐Sequence current measurement uncertainty in three‐phase power systems during normal operation |
| title_full | Zero‐Sequence current measurement uncertainty in three‐phase power systems during normal operation |
| title_fullStr | Zero‐Sequence current measurement uncertainty in three‐phase power systems during normal operation |
| title_full_unstemmed | Zero‐Sequence current measurement uncertainty in three‐phase power systems during normal operation |
| title_short | Zero‐Sequence current measurement uncertainty in three‐phase power systems during normal operation |
| title_sort | zero sequence current measurement uncertainty in three phase power systems during normal operation |
| topic | Probability theory, stochastic processes, and statistics Measurement and error theory Electrical instruments and techniques Display, recording and indicating instruments Monte Carlo methods Current measurement |
| url | https://doi.org/10.1049/gtd2.12254 |
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