The measurement is an essential procedure in power networks for both network stability, and diagnosis purposes. This work is an effort to confront the challenges in power networks using metrological approach. In this work three different research projects are carried out on Medium Voltage underground cable joints diagnosis, inductive Current Transformers modeling, and frequency modeling of the Low power Voltage Transformer as an example of measurement units in power networks. For the cable joints, the causes and effects of Loss Factor have been analyzed, while for the inductive current transformers a measurement model is developed for prediction of the ratio and phase error. Moreover, a frequency modeling approach has been introduced and tested on low power voltage transformers. The performance of the model on prediction of the low power voltage transformer output has been simulated and validated by experimental tests performed in the lab.

Design and Implementation of New Measurement Models and Procedures for Characterization and Diagnosis of Electrical Assets

2021

Abstract

The measurement is an essential procedure in power networks for both network stability, and diagnosis purposes. This work is an effort to confront the challenges in power networks using metrological approach. In this work three different research projects are carried out on Medium Voltage underground cable joints diagnosis, inductive Current Transformers modeling, and frequency modeling of the Low power Voltage Transformer as an example of measurement units in power networks. For the cable joints, the causes and effects of Loss Factor have been analyzed, while for the inductive current transformers a measurement model is developed for prediction of the ratio and phase error. Moreover, a frequency modeling approach has been introduced and tested on low power voltage transformers. The performance of the model on prediction of the low power voltage transformer output has been simulated and validated by experimental tests performed in the lab.
31-mar-2021
Inglese
Peretto, Lorenzo
Università degli Studi di Bologna
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14242/127051
Il codice NBN di questa tesi è urn:nbn:it:unibo-26973