Power system measurements based on fuzzy linear regression algorithm for power system protection

This paper presents a new technique for power system voltage measurements based on fuzzy linear regression. The voltage signal is assumed to have a linear relation with the voltage magnitude and the phase angle. The coefficients of this linear relation are considered as fuzzy numbers with given midd...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Conference proceedings - Canadian Conference on Electrical and Computer Engineering Jg. 2; S. 1020 - 1026 vol.2
Hauptverfasser: Soliman, S.A., Rahman, M.H.A., El-Hawary, M.E.
Format: Tagungsbericht Journal Article
Sprache:Englisch
Veröffentlicht: IEEE 1996
Schlagworte:
Discrete Fourier transforms
Frequency estimation
Fuzzy systems
Linear programming
Linear regression
Parameter estimation
Power system measurements
Power system protection
Regression analysis
Voltage measurement
ISBN:9780780331433, 0780331435
ISSN:0840-7789
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:This paper presents a new technique for power system voltage measurements based on fuzzy linear regression. The voltage signal is assumed to have a linear relation with the voltage magnitude and the phase angle. The coefficients of this linear relation are considered as fuzzy numbers with given middle and spread values. The spread defines the fuzziness of the function. The proposed technique uses digitized samples of the voltage signal obtained at the relay location. The problem is formulated as a linear optimization problem, where the objective is to minimize the spread of the fuzzy output for the whole data set, which is a linear function of the spread, subject to satisfying inequality constraints. A linear programming algorithm is used to solve the associated linear optimization problem. The proposed technique is tested using nonfuzzy as well as fuzzy data.
Bibliographie:SourceType-Scholarly Journals-2
ObjectType-Feature-2
ObjectType-Conference Paper-1
content type line 23
SourceType-Conference Papers & Proceedings-1
ObjectType-Article-3
ISBN:9780780331433
0780331435
ISSN:0840-7789
DOI:10.1109/CCECE.1996.548328