Improving the Performance of Distance Relay-Based Artificial Neural Network

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Improving the Performance of Distance Relay-Based Artificial Neural Network

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Improving the Performance of Distance Relay-Based Artificial Neural Network

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2022 IEEE 3rd KhPI Week on advanced Technology (KhPI Week 2022) : conference proceedings

ISBN

979-8-3503-9920-2

ISSN

—

e-ISSN

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Počet stran výsledku

6

Strana od-do

—

Název nakladatele

IEEE

Místo vydání

Piscaway

Místo konání akce

Kharkiv, Ukraine

Datum konání akce

3. 10. 2022

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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