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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

Full text : PDF (255 KB)