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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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

Result continuities

  • Project

  • 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

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

  • 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