<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Power transformer is one of the most important pieces of equipment in the grid to reliably and efficiently transmit power to the consumers. Asset management and protection are the best concepts for prolongation of transformer lifespan as well as for the increase of grid reliability. This article presents electrical and non-electrical parameter-based power transformer monitoring and protection. Various data such as core flux, age of asset, heat generation, current harmonics and temperature are monitored in real time and processed accordingly to enhance the working capability of the transformer. The proposed scheme is successfully tested on 15 kVA laboratory transformer using Arm CORTEX-M4 processor. A Fitness Function (<italic>F</italic>f) is estimated from the collected data to examine the working condition of the transformer. Moreover, voltage, current and power-based inrush detection as well as Adaptive Power Differential Protection (APDP) are applied to protect the transformer against fault. The hardware implementation and result validation prove the effectiveness of the proposed scheme in enhancing reliability of the distribution grid.</p></abstract>

Power transformer is one of the most important pieces of equipment in the grid to reliably and efficiently transmit power to the consumers. Asset management and protection are the best concepts for prolongation of transformer lifespan as well as for the increase of grid reliability. This article presents electrical and non-electrical parameter-based power transformer monitoring and protection. Various data such as core flux, age of asset, heat generation, current harmonics and temperature are monitored in real time and processed accordingly to enhance the working capability of the transformer. The proposed scheme is successfully tested on 15 kVA laboratory transformer using Arm CORTEX-M4 processor. A Fitness Function (Ff) is estimated from the collected data to examine the working condition of the transformer. Moreover, voltage, current and power-based inrush detection as well as Adaptive Power Differential Protection (APDP) are applied to protect the transformer against fault. The hardware implementation and result validation prove the effectiveness of the proposed scheme in enhancing reliability of the distribution grid.

Real-Time Monitoring &amp; Adaptive Protection of Power Transformer to Enhance Smart Grid Reliability

Electrical, Control and Communication Engineering

This work is licensed under the Creative Commons Attribution 4.0 Public License.

Real-Time Monitoring & Adaptive Protection of Power Transformer to Enhance Smart Grid Reliability

Power transformer is one of the most important pieces of equipment in the grid to reliably and efficiently transmit power to the consumers. Asset management...

Real-Time Monitoring & Adaptive Protection of Power Transformer to Enhance Smart Grid Reliability

Data publikacji: 20 mar 2020

Zakres stron: 104 - 112

DOI: https://doi.org/10.2478/ecce-2019-0014

Słowa kluczowe
Condition monitoring, Fault detection, Power transformers, Reliability, Smart Grid

© 2019 Maulik Raichura et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 Public License.

Real-Time Monitoring & Adaptive Protection of Power Transformer to Enhance Smart Grid Reliability

Data publikacji: 20 mar 2020

Zakres stron: 104 - 112

DOI: https://doi.org/10.2478/ecce-2019-0014

Słowa kluczoweCondition monitoring, Fault detection, Power transformers, Reliability, Smart Grid

© 2019 Maulik Raichura et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 Public License.

Słowa kluczowe
Condition monitoring, Fault detection, Power transformers, Reliability, Smart Grid