Abstract

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.

Highlights

  • The concept of a smart grid would not exist without measurements

  • The results are used to define the characteristic of a comprehensive type test to be performed on Rogowski coil (RC)

  • To increase ε readability, R1 and R2 are graphed in the primary vertical axis, while R3 is in the secondary axis

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Summary

Introduction

The concept of a smart grid would not exist without measurements. a smart grid is defined as an “electric power system that utilizes information exchange and control technologies, distributed computing and associated sensors and actuators, for purposes such as (i) to integrate the behavior and actions of the network users and other stakeholders,(ii) to efficiently deliver sustainable, economic and secure electricity supplies” [1]. The concept of a smart grid would not exist without measurements. A smart grid is defined as an “electric power system that utilizes information exchange and control technologies, distributed computing and associated sensors and actuators, for purposes such as (i) to integrate the behavior and actions of the network users and other stakeholders,. (ii) to efficiently deliver sustainable, economic and secure electricity supplies” [1]. The collection and exchange of information is based on measurements. Such measurements are manipulated and converted by intelligent electronic devices (IEDs). The measurement stage is achieved by means of instrument transformers (ITs) and low-power instrument transformers (LPITs). LPITs are referred to as nonconventional instrument transformers (NCITs) or sensors

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