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Author:Zoko, Ble Frank
Title:Locating arcing faults using radio measurement method
Localisation des arcs électriques par radio
Publication type:Master's thesis
Publication year:2009
Pages:78 s. + liitt. 12      Language:   eng
Department/School:Elektroniikan, tietoliikenteen ja automaation tiedekunta
Main subject:Sähköverkot ja suurjännitetekniikka   (S-18)
Supervisor:Lehtonen, Matti
Instructor:
Electronic version URL: http://urn.fi/URN:NBN:fi:aalto-201203091390
OEVS:
Electronic archive copy is available via Aalto Thesis Database.
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Location:P1 Ark S80     | Archive
Keywords:antenna
power system
transmission line
distribution network
arcing fault
cross-correlation
wavelet
antenni
sähköjärjestelmä
siirtojohto
jakeluverkko
ristikorrelaatio
Abstract (eng): The electrical distribution and transmission are increasingly subjects to many faults on electrical lines.
This also calls in to question the quality of energy.
The most recurring power electric faults are those emitting electromagnetic radiations.
The aim of this thesis is to seek for the location of these power arcs.
Such faults inject excess current into the network.
The problem is that the power arcs are undetectable by the mean of traditional detection devices at beginning since they induce small current which are below the relay setup current for automatic triggering disconnection.
The induced current will grow as time increases until the relays trip, by then the network is inevitably damaged.
In order to avoid such kind of situation, it is important to develop a new approach to locate these electric arcs at their earlier stage.
In this thesis, a laboratory experiment was conducted in order to study all the information regarding the captured signals by the sensors.
Several sets of faults were simulated by a spark generator and the electromagnetic radiations have been captured by four (4) radio antennas placed at different locations around the spark source.
The statistic analysis and some signal processing methods were explored in order to extract an essential algorithm for the location of this particular type of electric fault.
All the methods of analysis have not been exploited, then the initiative has been taken to further our research in future by examining other methods in order to improve the location algorithm accuracy.
Abstract (fin): Sähkön jakelu ja siirto ovat kasvavassa määrin alttiita monille sähkölinjojen vioille.
Tämä nostaa esiin kysymyksen energian laadusta.
Useimmin toistuvat voiman siirron viat aiheuttavat sähkömagneettista säteilyä.
Tämän väitöstyön tarkoituksena on paikallistaa näiden valokaarien sijainti.
Nämä viat syöttävät ylimääräistä virtaa verkkoon.
Ongelmana on, että valokaaria ei voida huomata nykyisillä menetelmillä koska niiden aiheuttamat virrat ovat liian pieniä releiden automaattiseen laukaisuvirtaan nähden.
Indusoitunut virta kasvaa ajan kuluessa kunnes rele laukaisee, mutta silloin verkko on jo väistämättä vioittunut.
Tämän välttämiseksi on tärkeää kehittää uutta lähestymistapaa näiden valokaarien paikallistamiseksi aikaisemmassa vaiheessa.

Tässä väitöstyössä tehtiin laboratoriokokeita joissa tutkittiin kaikkia niitä tietoja, joita anturit saivat vastaanotettua.
Useita eri vikoja simuloitiin kipinägeneraattorilla ja sähkömagneettista säteilyä mitattiin neljällä (4) radioantennilla jotka olivat sijoitettuina eri paikkoihin kipinävälin ympärille.
Tilastollinen analyysi ja joitakin signaalinkäsittelyn menetelmiä tutkittiin jotta löydettiin tarpeellinen algoritmi tämän tyyppisen vian paikallistamiseksi.
Kaikkia analyysimenetelmiä ei ole hyödynnetty, mutta tulevaisuudessa on tarkoitus jatkaa tutkimusta tarkastelemalla muita menetelmiä paikannusalgoritmin tarkkuuden parantamiseksi.
ED:2010-09-03
INSSI record number: 40410
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