Attribution of Responsibility for Short-Duration Voltage Variations in Power Distribution Systems via QGIS, OpenDSS, and Python Language

Short-Duration Voltage Variations (SDVVs) are phenomena that significantly impact power quality. Although they typically last no longer than three minutes, such events can disrupt load operations and cause substantial production losses. This study presents an enhanced methodology for determining whe...

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Veröffentlicht in:	IEEE transactions on industry applications S. 1 - 16
Hauptverfasser:	de Souza, Arthur Gomes, Passatuto, Luiz Arthur Tarralo, Bernardes, Wellington Maycon Santos, Freitas, Luiz Carlos Gomes, Resende, Enio Costa
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 2025
Schlagworte:	Artificial neural networks Distribution networks MATLAB OpenDSS phenomenon responsibility Power quality Python QGIS short-duration voltage variation Software packages Transformers Voltage control Voltage fluctuations
ISSN:	0093-9994, 1939-9367
Online-Zugang:	Volltext
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