Version 1
: Received: 9 November 2023 / Approved: 10 November 2023 / Online: 10 November 2023 (13:26:36 CET)
How to cite:
Ustinov, D.; Abou rashid, A. Using Artificial Neural Network Methods to Increase the Sensitivity of Distance Protection. Preprints2023, 2023110715. https://doi.org/10.20944/preprints202311.0715.v1
Ustinov, D.; Abou rashid, A. Using Artificial Neural Network Methods to Increase the Sensitivity of Distance Protection. Preprints 2023, 2023110715. https://doi.org/10.20944/preprints202311.0715.v1
Ustinov, D.; Abou rashid, A. Using Artificial Neural Network Methods to Increase the Sensitivity of Distance Protection. Preprints2023, 2023110715. https://doi.org/10.20944/preprints202311.0715.v1
APA Style
Ustinov, D., & Abou rashid, A. (2023). Using Artificial Neural Network Methods to Increase the Sensitivity of Distance Protection. Preprints. https://doi.org/10.20944/preprints202311.0715.v1
Chicago/Turabian Style
Ustinov, D. and Aysar Abou rashid. 2023 "Using Artificial Neural Network Methods to Increase the Sensitivity of Distance Protection" Preprints. https://doi.org/10.20944/preprints202311.0715.v1
Abstract
To protect power lines, distance relays are used which can rely on a modified distance resistance. But usually the operating range of these relays changes as the network conditions change (network topology, load value, output value, etc.) and leads to false trips, By using methods that can process information and recognize patterns, for example, the use of micro and intelligent processor algorithms can use the new relays with high precision and thus provide adequate protection. In this study, a distance relay was modeled using a neural network, and it was observed that the neural relay had higher accuracy than the conventional relay. In addition to detecting the fault and its location, type and phase of the fault, three-stage simultaneous protection can be performed. As a result, the number of linear relays can be reduced by using relays based on neural technologies. An MLP (multilayer perceptron) neural network is used to model a sequence of distances.
Engineering, Electrical and Electronic Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
