DocumentCode :
617097
Title :
Bacterial Foraging Algorithm application for induction motor field efficiency estimation under harmonics and unbalanced voltages
Author :
Sousa Santos, Vladimir ; Quispe, Enrique C. ; Sarduy, Julio R. Gomez ; Viego, Percy R. ; Lemozy, Norberto ; Jurado, Alejandro ; Brugnoni, Mario
Author_Institution :
Fac. of Eng., Univ. de Cienfuegos, Cienfuegos, Cuba
fYear :
2013
fDate :
12-15 May 2013
Firstpage :
1108
Lastpage :
1111
Abstract :
The time harmonic flow in industrial electrical grids with voltage deviations and unbalance, significantly affects three phase induction motor operation and makes difficult energy characterization. There are different methods for in situ estimation of motors efficiency. However, none of them have been sufficiently precise for the analysis under non-sinusoidal, deviated and unbalanced voltage conditions. This paper presents a method based on the equivalent circuits, with losses segregation and using Bacterial Foraging Algorithm (BFA). It allows determining under field conditions and low invasiveness, energy efficiency of induction motors operating under the before mentioned conditions. This method was tested successfully on a 0.55 kW motor, fed with significant levels of unbalance and voltage harmonics.
Keywords :
equivalent circuits; induction motors; optimisation; bacterial foraging algorithm application; energy characterization; equivalent circuits; harmonic voltage; in situ estimation; induction motor field efficiency estimation; industrial electrical grids; loss segregation; phase induction motor operation; power 0.55 kW; unbalanced voltage; voltage deviations; Current measurement; Estimation; Harmonic analysis; Induction motors; Microorganisms; Stators; Voltage measurement; bacterial foraging algorithm; efficiency; harmonic with unbalance voltage; induction motor;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Machines & Drives Conference (IEMDC), 2013 IEEE International
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4673-4975-8
Electronic_ISBN :
978-1-4673-4973-4
Type :
conf
DOI :
10.1109/IEMDC.2013.6556235
Filename :
6556235
Link To Document :
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