Abstraction of Significant Temporal Features of Voltage Sags Recorded in a 25kV Substation.

Abstract

The existing methods to characterise voltage sags use the lowest of the three voltages and the longest duration. Basic quantitative | qualitative voltage sag attributes have been obtained from recorded waveforms in order to increase the number of measures to characterise a voltage sag. Also a method to compare voltage sags have been proposed and applied in sags recorded in a 25 kV substation.

Classification of Sags Measured in a Distribution Substation Using a Fuzzy Tool.

“…Normalization: New voltage object normalization was performed using (4). As a result, the following normalized sag descriptors classification is obtained as: X (6) = [0.1 0.3 0.9]…”

“…From artificial intelligence and data mining point of view, some techniques can help in this challenge. This paper discuss about a voltage sags classification previously characterized by rms filtering and symmetrical components techniques [3]- [4]. Significant sag features are used to give a description, useful for voltage sags classification and its association with causes and possible fault location.…”

Automatic Management of Voltage Sags Recorded in a 25 kV Sbstation

“…9); divided in single-phase sag magnitude, single-phase sag duration, voltage fall slope and voltage recovery slope. For more detail consult ( [4], [5]). • To determine three-phase sag magnitude and three sag duration, according to definition in section 2.…”

Visual management of sags and incidents gathered in distribution substations for power quality management

“…The abstraction of the power monitors waveforms into strings has been done according to the methodology described in [5].…”