Paper Info
Title
Regression methods used for the determination of induction generator efficiency
Abstract
The paper presents issues regarding the usage of regression functions for the determination of a dual fed induction generator's efficiency. The authors studied the case of regression function of one, respectively of two independent variables. The preliminary data were obtained through measurements performed on an experimental laboratory setup constituted from a dual fed special type constructive induction generator driven by an induction machine in motor regime. There are presented the results of several regression functions both of one (frequency) and of two variables (frequency and current). There are stated conclusions regarding the obtained results and the suitability of using them in the context of planning control and maximum power point tracking strategies applied in the case of hybrid electrical energy conversion systems - wind/solar/hydro micro grids.
Year
DOI
Venue
2015
10.1109/SACI.2015.7208176
2015 IEEE 10th Jubilee International Symposium on Applied Computational Intelligence and Informatics
Keywords
Field
DocType
regression functions,dual fed special type constructive induction generator efficiency determination,preliminary data,experimental laboratory setup,motor regime,frequency variable,current variable,planning control strategy,maximum power point tracking strategy,hybrid electrical energy conversion systems,wind system,solar system,hydro micro grid system
Regression function,Constructive induction,Regression,Computer science,Control theory,Maximum power point tracking,Electric potential energy,Control engineering,Variables,Induction machine,Induction generator
Conference
Citations 
PageRank 
References 
0
0.34
2
Authors
4
Name
Order
Citations
PageRank
Iosif Szeidert11713.63
Ioan Filip22518.11
Octavian Prostean32921.20
Cristian Vasar4912.74