A collective condition monitoring algorithm for on-load tap-changers

Behnam Feizifar; Zdenek Muller; Ghaeth Fandi; Omer Usta

doi:10.1109/EEEIC.2019.8783320

A collective condition monitoring algorithm for on-load tap-changers

Behnam Feizifar, Zdenek Muller, Ghaeth Fandi, Omer Usta

Electronic And Electrical Engineering

Research output: Contribution to conference › Paper

1 Citation (Scopus)

Abstract

Transformer units are widely utilized to transfer the electric power over transmission and distribution networks efficiently. These units can be equipped with an on-load tap- changer (OLTC) to regulate the voltage level of power grids by tap changing operations between different steps of transformer winding to compensate unpredicted fluctuations of voltage. An OLTC is the solely moving and switching component of power transformers, thus it is highly prone to electrical, mechanical, and dielectric defects. Some international surveys indicate that the majority of the failures and outages with respect to power transformers are originated from malfunctions of OLTCs. This paper contains an analytical review of the existing methods for condition monitoring (CM) of OLTCs and proposes a collective CM algorithm, which considers the mechanical, electrical, and dielectric defects and degradations of OLTCs. The algorithm is designed to provide a comprehensive CM output for OLTCs by collecting different types of measurements from certain sensors used by different CM methods.

Original language	English
Pages	1-6
Number of pages	6
DOIs	https://doi.org/10.1109/EEEIC.2019.8783320
Publication status	Published - 11 Jun 2015
Event	2019 IEEE International Conference on Environment and Electrical Engineering - Genoa, Italy Duration: 11 Jun 2019 → 14 Jun 2019

Conference

Conference	2019 IEEE International Conference on Environment and Electrical Engineering
Country	Italy
City	Genoa
Period	11/06/19 → 14/06/19

Keywords

transformer units
electric power transmission
on-load tap-changers

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Feizifar, B., Muller, Z., Fandi, G., & Usta, O. (2015). A collective condition monitoring algorithm for on-load tap-changers. 1-6. Paper presented at 2019 IEEE International Conference on Environment and Electrical Engineering, Genoa, Italy. https://doi.org/10.1109/EEEIC.2019.8783320

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abstract = "Transformer units are widely utilized to transfer the electric power over transmission and distribution networks efficiently. These units can be equipped with an on-load tap- changer (OLTC) to regulate the voltage level of power grids by tap changing operations between different steps of transformer winding to compensate unpredicted fluctuations of voltage. An OLTC is the solely moving and switching component of power transformers, thus it is highly prone to electrical, mechanical, and dielectric defects. Some international surveys indicate that the majority of the failures and outages with respect to power transformers are originated from malfunctions of OLTCs. This paper contains an analytical review of the existing methods for condition monitoring (CM) of OLTCs and proposes a collective CM algorithm, which considers the mechanical, electrical, and dielectric defects and degradations of OLTCs. The algorithm is designed to provide a comprehensive CM output for OLTCs by collecting different types of measurements from certain sensors used by different CM methods.",

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AB - Transformer units are widely utilized to transfer the electric power over transmission and distribution networks efficiently. These units can be equipped with an on-load tap- changer (OLTC) to regulate the voltage level of power grids by tap changing operations between different steps of transformer winding to compensate unpredicted fluctuations of voltage. An OLTC is the solely moving and switching component of power transformers, thus it is highly prone to electrical, mechanical, and dielectric defects. Some international surveys indicate that the majority of the failures and outages with respect to power transformers are originated from malfunctions of OLTCs. This paper contains an analytical review of the existing methods for condition monitoring (CM) of OLTCs and proposes a collective CM algorithm, which considers the mechanical, electrical, and dielectric defects and degradations of OLTCs. The algorithm is designed to provide a comprehensive CM output for OLTCs by collecting different types of measurements from certain sensors used by different CM methods.

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