Improving the Performance of Distance Relay-Based Artificial Neural Network
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F22%3A43967878" target="_blank" >RIV/49777513:23220/22:43967878 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9916379" target="_blank" >https://ieeexplore.ieee.org/document/9916379</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/KhPIWeek57572.2022.9916379" target="_blank" >10.1109/KhPIWeek57572.2022.9916379</a>
Alternative languages
Result language
angličtina
Original language name
Improving the Performance of Distance Relay-Based Artificial Neural Network
Original language description
Distance relays for protection of power transmission lines used, which can be based on fixed stings Adjusted. But usually, the amplitude of operation of these relays changes with changing network conditions (network topology, load value, output value, etc.) and causes the relay to malfunction, using methods that can process information and pattern recognition, such as the use of fine processors and intelligent algorithms can use new relays that have high accuracy and thus achieve proper protection. In this paper, a distance relay is simulated by a neural network and it is observed that the neural relay has higher accuracy than a normal relay. In addition to fault detection and location, the type and phase of the fault can perform simultaneous protection of three phases. As a result, the number of line relays can be reduced by using neural relays. The MLP neural network is used to simulate the distance relay.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2022 IEEE 3rd KhPI Week on advanced Technology (KhPI Week 2022) : conference proceedings
ISBN
979-8-3503-9920-2
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
IEEE
Place of publication
Piscaway
Event location
Kharkiv, Ukraine
Event date
Oct 3, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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