Research on Harmonic Characteristic of Electronic Current Transformer Based on the Rogowski Coil

Shen, Diqiu; Hu, Bei; Wang, Xufeng; Zhu, Mingdong; Wang, Liang; Lu, Wenxing

doi:10.1088/1757-899x/199/1/012123

Cited by 1 publication

(1 citation statement)

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“…Several papers related to the main topic of this work were found. For example, the single effect of distorted signals injected through the Rogowski coil was studied in [ 17 , 18 ]. In [ 19 , 20 , 21 ], instead, the effect of geometry on their performance was discussed and studied.…”

Section: Introductionmentioning

confidence: 99%

Accuracy Type Test for Rogowski Coils Subjected to Distorted Signals, Temperature, Humidity, and Position Variations

Mingotti

Costa

Peretto

et al. 2022

Sensors

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Low-Power Instrument Transformers (LPITs) are becoming the first choice for distributed measurement systems for medium voltage networks. However, there are still a lot of challenges related to their operation. Such challenges include their accuracy variation when several influence quantities are acting on them. Among the most significant influence quantities are temperature, electromagnetic field, humidity, etc. Another aspect that increases the importance of studying the LPITs’ accuracy behavior is that, once installed, they cannot be calibrated for several years; hence, one cannot compensate for in-field conditions. Hence, this work aims at introducing a simple type test for a specific LPIT, the Rogowski coil. First, an experimental setup to assess the effect of temperature, humidity, and positioning on the power quality accuracy performance of the Rogowski coil is described. Second, from the results and the experience of the authors it has been possible to design a specific type test. The test has the aim of finding the limits of the accuracy variations of a single Rogowski coil. Afterwards, such limits can be used to compensate for the in-field measurements, obtaining an overall higher accuracy. The results of this work may contribute to the always-evolving standardization work on LPITs.

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Section: Introductionmentioning

confidence: 99%