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Assessment of extensive countrywide electrical power quality measurements through a database architecture
Date
2013-03-01
Author
Kucuk, Dilek
Salor, Ozgul
Guder, Mennan
Demirci, Turan
Inan, Tolga
Akkaya, Yener
Cadirci, Isik
Ermiş, Muammer
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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This paper describes countrywide electrical power quality (PQ) assessments of the Turkish Electricity Transmission System through a genuine PQ database. The database stores the output of mobile PQ measurement systems which are established at 172 transformer substations of the transmission system. At 601 measurement points in these substations, which are potentially critical in terms of PQ, measurements are carried out by the mobile systems for a period of 1 week. PQ parameters defined in the IEC-61000-4-30 standard in addition to power values are calculated from acquired raw data by the mobile-monitoring system and the resulting data are transferred to the PQ database. The database, based on a novel PQ data model, enables its users to take PQ snapshots of the transmission system countrywide and can be accessed through several interfaces including a visual query interface, a natural language interface, and a map interface. The overall PQ status of the measured points, representing the characteristics of the transmission system, is assessed through these interfaces and problematic points are determined while deriving important conclusions about the transmission system's PQ behavior. Moreover, several novel PQ assessment methods are proposed and their applications on the PQ data are demonstrated especially through the map interface.
Subject Keywords
Power quality
,
Distributed monitoring
,
PQ measurement
,
Data modeling
,
PQ database
,
Assessment metrics
URI
https://hdl.handle.net/11511/32466
Journal
ELECTRICAL ENGINEERING
DOI
https://doi.org/10.1007/s00202-012-0233-y
Collections
Graduate School of Natural and Applied Sciences, Article
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D. Kucuk et al., “Assessment of extensive countrywide electrical power quality measurements through a database architecture,”
ELECTRICAL ENGINEERING
, pp. 1–19, 2013, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/32466.