<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

Data publikacji: 13 paź 2022

Zakres stron: 27 - 33

Otrzymano: 10 paź 2021

Przyjęty: 20 cze 2022

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

Słowa kluczowe
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

Data publikacji: 13 paź 2022

Zakres stron: 27 - 33

Otrzymano: 10 paź 2021

Przyjęty: 20 cze 2022

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

Słowa kluczoweArtificial 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.

Słowa kluczowe
Artificial Intelligence, Artificial Neural Networks, Tensorflow, Relay Protection, control system