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In this paper, different selection, crossover including deferential evolution and mutation techniques are considered for optimizing the electrical power loss in real hydrocarbon industrial plant using genetic algorithm (GA). The subject plant electrical system consists of 275 buses, two gas turbine generators, two steam turbine generators, large synchronous motors, and other rotational and static...
In this paper, three voltage stability indices (VSIs) have been assessed. The voltage stability problem has been formulated as an optimization problem. Genetic algorithm (GA) has been employed to solve this optimization problem. Wale & Hale 6 bus system was used in this paper study.
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