Advanced Preliminary Screening for PD Detection for Overhead Distribution Lines with Covered Conductors

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F24%3A10256176" target="_blank" >RIV/61989100:27240/24:10256176 - isvavai.cz</a>

Alternative codes found

RIV/61989100:27730/24:10256176

Result on the web

<a href="https://www.sciencedirect.com/science/article/pii/S2405896324004701?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2405896324004701?via%3Dihub</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.ifacol.2024.07.381" target="_blank" >10.1016/j.ifacol.2024.07.381</a>

Result language

angličtina

Original language name

Advanced Preliminary Screening for PD Detection for Overhead Distribution Lines with Covered Conductors

Original language description

This study proposes a novel approach to optimize partial discharge detection in overhead lines with covered conductors. The approach uses 2D Convolutional Neural Networks and HW neural network accelerator Edge TPU. The critical advancement of this research lies in exploring two distinct 2D classification methods - 2D histograms and spectrogram - and adjusting neural network thresholds to selectively identify potential positive PD samples with enhanced accuracy. The proposed approach addresses the prevalent challenge of costly and limited remote data transmission in PD detection. It significantly reduces the need for extensive data transfer by focusing on potentially positive samples. This evaluation of two approaches for detection of partial discharges, coupled with the strategic threshold adjustment, presents a novel solution in the realm of PD detection, offering increased efficiency and cost-effectiveness. By evaluating and comparing these strategies of 2D classification and threshold optimization, this research contributes to the field of partial discharges detection. It proposes a method that not only minimizes operational costs but also aligns with environmental sustainability goals, paving the way for more advanced maintenance practices in power transmission systems. Copyright (c) 2024 The Authors.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10200 - Computer and information sciences

Project

<a href="/en/project/TN02000025" target="_blank" >TN02000025: National Centre for Energy II</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2024

Confidentiality

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

Article name in the collection

IFAC-PapersOnLine. Volume 58, Issue 9

ISBN

—

ISSN

2405-8963

e-ISSN

2405-8963

Number of pages

6

Pages from-to

114-119

Publisher name

Publish by Elsevier B.V.

Place of publication

Oxford

Event location

Brno

Event date

Jun 19, 2024

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

001296083700020