Using Superimposed Quantity Theory and Negative Sequence Network for Unbalanced Voltage Sag Source Detection

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Keywords:
Identification negative sequence power quality superimposed quantity theory voltage sags/dips.

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Weerawoot Kanokbannakorn
Department of Electrical Engineering Kasetsart University, 50 Phaholyothin Rd., Ladyao, Jatujak, Bangkok, Thailand, 10900.
Trin Saengsuwan
Department of Electrical Engineering Kasetsart University, 50 Phaholyothin Rd., Ladyao, Jatujak, Bangkok, Thailand, 10900.
Siriroj sirisukprasert
Department of Electrical Engineering Kasetsart University, 50 Phaholyothin Rd., Ladyao, Jatujak, Bangkok, Thailand, 10900.

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.

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How to Cite
Kanokbannakorn, W., Saengsuwan, T., & sirisukprasert, S. (2014). Using Superimposed Quantity Theory and Negative Sequence Network for Unbalanced Voltage Sag Source Detection. Engineering and Applied Science Research, 40(3), 447–456. Retrieved from https://ph01.tci-thaijo.org/index.php/easr/article/view/21733
Issue
Vol. 40 No. 3 (2013)
Section
ORIGINAL RESEARCH

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