DocumentCode
2030334
Title
Improved power quality monitor placement using innovative indices
Author
Haghbin, M. ; Farjah, E. ; Mazaherifar, H.
Author_Institution
Dept. of Electr. Eng., Shiraz Univ., Shiraz, Iran
fYear
2013
fDate
13-14 Feb. 2013
Firstpage
501
Lastpage
509
Abstract
In this paper a new approach for determining the location of the source of voltage sag is presented. First, the contribution of short circuits to the creation of voltage sag is discussed. Then, considering the results of short circuit analysis, monitor arrangements that can monitor the entire network effectively, are found using a genetic algorithm approach. As the next step, appropriate indices are introduced for determining the discrimination of the data recorded by the monitors, and the amount of overlap between borders of the monitors. The method used for the determination of the indices is ANOVA and fuzzy logic. Next a fuzzy inference system is designed to decide which of the found arrangements is the best, with respect to the defined indices.
Keywords
fuzzy logic; fuzzy reasoning; genetic algorithms; power engineering computing; power supply quality; short-circuit currents; statistical analysis; ANOVA; fuzzy inference system; fuzzy logic; genetic algorithm approach; innovative indices; power quality monitor placement; short circuit analysis; voltage sag source location determination; Biological cells; Indexes; Monitoring; Analysis of variance (ANOVA); Power quality; fuzzy system; genetic algorithm; neural network; sag source location; voltage sag;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Electronics, Drive Systems and Technologies Conference (PEDSTC), 2013 4th
Conference_Location
Tehran
Print_ISBN
978-1-4673-4481-4
Electronic_ISBN
978-1-4673-4483-8
Type
conf
DOI
10.1109/PEDSTC.2013.6506760
Filename
6506760
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