Steady-State Analysis of Parallel-Operated Self-Excited Induction Generators Supplying an Unbalanced Load

Jordan Radosavljević; Dardan Klimenta; Miroljub Jevtić

doi:10.2478/v10187-012-0031-9

Abstract

This paper proposed a multi-objective genetic algorithm (MOGA) based approach for determining the steady-state performance characteristics of three-phase self-excited induction generators (SEIGs) operating in parallel and supplying an unbalanced load. The symmetrical component theory is used for the transformation of a complex three-phase generators-capacitances-load system to a simple equivalent circuit. The MOGA has been employed for the determination of unknown variables by minimizing the impedance module of the equivalent circuit. Using this approach, effects of various parameters on the terminal voltage control characteristics are examined for two parallel SEIGs with C2C connection under a single phase load.

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Steady-State Analysis of Parallel-Operated Self-Excited Induction Generators Supplying an Unbalanced Load

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