Using superimposed quantity theory and negative sequence network for unbalanced voltage sag source detection
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Creator 1. Weerawoot Kanokbannakorn
2. Trin Saengsuwan
3. Siriroj sirisukprasert
Title Using superimposed quantity theory and negative sequence network for unbalanced voltage sag source detection
Publisher Faculty of Engineering, Khon Kaen Univeristy
Publication Year 2556
Journal Title KKU Engineering Journal
Journal Vol. 40
Journal No. 3
Page no. 447-456
Keyword Ldentification, Negative sequence, Power quality, Superimposed quantity theory,Voltage sags/dips
ISSN 0125-8573
Abstract This paper proposed a new algorithm to identify the unbalanced voltage sag source location using superimposed quantity theory and negative sequence. This algorithm is derived mathematically. The accuracy of model is verified by computer simulation and field test. The results demonstrate that the negative incremental impedance can effectively reveal sag source location and this algorithm can be applied to real power system.
KKU Engineering Journal

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