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

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/61989100:27730/24:10256176

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10200 - Computer and information sciences

Projekt

<a href="/cs/project/TN02000025" target="_blank" >TN02000025: Národní centrum pro energetiku II</a><br>

Návaznosti

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

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název statě ve sborníku

IFAC-PapersOnLine. Volume 58, Issue 9

ISBN

—

ISSN

2405-8963

e-ISSN

2405-8963

Počet stran výsledku

6

Strana od-do

114-119

Název nakladatele

Publish by Elsevier B.V.

Místo vydání

Oxford

Místo konání akce

Brno

Datum konání akce

19. 6. 2024

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

001296083700020