Analysis of the self-excited induction generator steady state performance using a new efficient algorithm

dc.contributor.authorKheldoun, Aissa
dc.contributor.authorRefoufi, Larbi
dc.contributor.authorKhodja, Djalal Eddine
dc.date.accessioned2015-04-09T09:25:21Z
dc.date.available2015-04-09T09:25:21Z
dc.date.issued2012
dc.description.abstractThe paper presents the application of DIRECT algorithm to analyse the performance of the Self-excited induction generator (SEIG). To the author best knowledge, this is the first attempt to apply it to such a problem. DIRECT algorithm is used to minimize the induction generator’s admittance without the need to separate it into its real and imaginary parts. No initial guess is required as it needs only the upper and lower values of the unknown variables which are easily determined. The obtained minimum admittance yields the adequate magnetizing reactance and the frequency. These two key parameters are then used to compute the self-excitation process requirements in terms of the prime mover speed, the capacitance and the load impedance on the one hand and to predict the generator steady state performance parameters on the other. Very good agreement between predicted results and experimental measurements is achieveden_US
dc.identifier.issn0378-7796
dc.identifier.urihttps://dspace.univ-boumerdes.dz/jspui/handle/123456789/194
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofseriesElectric Power Systems Research/ Vol.86 (2012);pp. 61-67
dc.subjectSelf-excitationen_US
dc.subjectDIRECT algorithmen_US
dc.subjectOptimisationen_US
dc.subjectInduction generatoren_US
dc.titleAnalysis of the self-excited induction generator steady state performance using a new efficient algorithmen_US
dc.typeArticleen_US

Files

Original bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Analysis of the self-excited induction generator steady state performance using a new efficient algorithm.pdf
Size:
91.38 KB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: