<abstract xml:lang="en" xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></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.

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

Faculty of Technical Sciences, University of Priština in Kosovska Mitrovica, Kneza Milośa 7, 38220, Kosovska Mitrovica, Serbia

Journal of Electrical Engineering

This paper proposed a multi-objective genetic algorithm (MOGA) based approach for determining the steady-state performance characteristics of three-phase...

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

Publié en ligne: 17 sept. 2012

Pages: 213 - 223

DOI: https://doi.org/10.2478/v10187-012-0031-9

Mots clés
induction generator, self-excitation, parallel operation, voltage control, multi-objective genetic algorithm

This content is open access.

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

Publié en ligne: 17 sept. 2012

Pages: 213 - 223

DOI: https://doi.org/10.2478/v10187-012-0031-9

Mots clésinduction generator, self-excitation, parallel operation, voltage control, multi-objective genetic algorithm

This content is open access.

Mots clés
induction generator, self-excitation, parallel operation, voltage control, multi-objective genetic algorithm