<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Artificial intelligence (AI) and Deep learning (DL) methods in power systems are being tested and prepared for practical use in many applications. In this work an artificial neural network models for fault identification and classification and switching logic control in middle voltage (MV) power electricity network is presented. Models are implemented in Google’s Python based tool Tensorflow with belonging program libraries. For fault detection and classification example a few thousand simulations are conducted in order to obtain enough fault current and voltage samples for high accuracy artificial neural network (ANN) with backpropagation model. Achieved accuracy and speed of presented deep learning model, open a possibility for application in digital relay protection devices. Second example is implementation of switching control rules in HV/MV substations. Presented models are patterns for power system controlling centres as part of broader controlling and protection logic.</p>
</abstract>

Artificial intelligence (AI) and Deep learning (DL) methods in power systems are being tested and prepared for practical use in many applications. In this work an artificial neural network models for fault identification and classification and switching logic control in middle voltage (MV) power electricity network is presented. Models are implemented in Google’s Python based tool Tensorflow with belonging program libraries. For fault detection and classification example a few thousand simulations are conducted in order to obtain enough fault current and voltage samples for high accuracy artificial neural network (ANN) with backpropagation model. Achieved accuracy and speed of presented deep learning model, open a possibility for application in digital relay protection devices. Second example is implementation of switching control rules in HV/MV substations. Presented models are patterns for power system controlling centres as part of broader controlling and protection logic.

Power System Control and Protection Models Based on Artificial Intelligence – A Tensorflow Approach

B&H Electrical Engineering

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

Artificial intelligence (AI) and Deep learning (DL) methods in power systems are being tested and prepared for practical use in many applications. In this work...

Power System Control and Protection Models Based on Artificial Intelligence – A Tensorflow Approach

Published Online: Oct 13, 2022

Page range: 27 - 33

Received: Oct 10, 2021

Accepted: Jun 20, 2022

DOI: https://doi.org/10.2478/bhee-2022-0004

Keywords
Artificial Intelligence, Artificial Neural Networks, Tensorflow, Relay Protection, control system

© 2022 Alen Bernadić, published by Sciendo

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

Power System Control and Protection Models Based on Artificial Intelligence – A Tensorflow Approach

Published Online: Oct 13, 2022

Page range: 27 - 33

Received: Oct 10, 2021

Accepted: Jun 20, 2022

DOI: https://doi.org/10.2478/bhee-2022-0004

KeywordsArtificial Intelligence, Artificial Neural Networks, Tensorflow, Relay Protection, control system

© 2022 Alen Bernadić, published by Sciendo

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

Keywords
Artificial Intelligence, Artificial Neural Networks, Tensorflow, Relay Protection, control system