A Statistical Approach for Estimating the Correlation between Lightning and Faults in Power Distribution Systems

Author

Borghetti, Alberto ; Nucci, Carlo Alberto ; Paolone, Mario ; Bernardi, Marina

Author_Institution

CESI, Milan

fYear

2006

fDate

11-15 June 2006

Firstpage

1

Lastpage

7

Abstract

The paper deals with the subject of the source-identification of transient voltage disturbances in distribution system buses. In particular, a statistical procedure is proposed for the evaluation of the probability that a lightning flash detected by a lightning location system (LLS) could cause a fault and, therefore, relay interventions, generally associated with voltage dips. The proposed procedure is based on the coordinated use of the information provided by the LLS and the availability of an advanced simulation tool for the accurate simulation of lightning-induced voltages on complex power systems, namely the LIOV-EMTP code. The uncertainty levels of the stroke location and of the peak current estimations provided by the LLS are discussed and their influence on the lightning-fault correlation is analyzed

Keywords

correlation methods; lightning protection; power distribution faults; power supply quality; power system simulation; power system transients; protection; LIOV-EMTP code; LLS; fault; lightning location system; lightning-fault correlation; power distribution system; relay interventions; source-identification; transient voltage disturbance; voltage dips; Electrical fault detection; Fault detection; Lightning; Power distribution; Power system relaying; Power system simulation; Power system transients; Probability; System buses; Voltage; Electromagnetic transients; LIOV-EMTP code; Lightning induced overvoltages; Lightning location systems; Monte Carlo method; Power quality;

fLanguage

English

Publisher

ieee

Conference_Titel

Probabilistic Methods Applied to Power Systems, 2006. PMAPS 2006. International Conference on

Conference_Location

Stockholm

Print_ISBN

978-91-7178-585-5

Type

conf

DOI

10.1109/PMAPS.2006.360211

Filename

4202223