Paper title: A GENETIC ALGORITHM-BASED APPROACH FOR A GENERAL STEADY-STATE ANALYSIS OF THREE-PHASE SELF-EXCITED INDUCTION GENERATOR
Author(s): JORDAN RADOSAVLJEVIĆ, DARDAN KLIMENTA, MIROLJUB JEVTIĆ,
Abstract: This paper proposes a procedure for a steady-state analysis of a three-phase self-excited
induction generator (SEIG) supplying balanced/unbalanced loads. The symmetrical
component theory is used for the transformation of a complex three-phase generatorcapacitance-
load system to a simple equivalent passive circuit. A genetic algorithm
(GA) has been employed for the determination of unknown variables by minimizing the
impedance module of the equivalent circuit. This leads to a complete steady-state
analysis of a three-phase SEIG for any combination of loads and excitation
capacitances. By means of this procedure a 2.2 kW three-phase SEIG is analyzed under
different load conditions.
Keywords: Induction generator, Self-excitation, Genetic algorithm, Renewable
energy Year: 2012 | Tome: 57 | Issue: 1 | Pp.: 10-19
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