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Communication Dans Un Congrès Année : 2017

Optimal tuning of power system stabilizer using genetic algorithm to improve power system stability

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Salma Keskes
  • Fonction : Auteur
Nouha Bouchiba
  • Fonction : Auteur
Souhir Sallem
  • Fonction : Auteur
M. B. A. Kammoun
  • Fonction : Auteur

Résumé

In the few past decades, power system stabilizers play an important role in power systems by ensuring the stability of the single machine infinite bus power system. In this context, several researchers have devoted their work to design the structure of the PSS and to optimize its parameters. In this paper, the structure of the integrated PSS is described. In order to optimize the PSS parameters, the genetic algorithm approach is proposed, developed and used. The performance of the proposed optimization method was evaluated by applying a short circuit default on a single machine infinite bus power system. Different results demonstrated that the genetic algorithm is able to find the optimal parameters of the PSS ensuring the stability of the power system.
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Dates et versions

hal-03631307 , version 1 (05-04-2022)

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  • HAL Id : hal-03631307 , version 1

Citer

Salma Keskes, Nouha Bouchiba, Souhir Sallem, Larbi Chrifi-Alaoui, M. B. A. Kammoun. Optimal tuning of power system stabilizer using genetic algorithm to improve power system stability. 2017 INTERNATIONAL CONFERENCE ON GREEN ENERGY & CONVERSION SYSTEMS (GECS), Mar 2017, Hammamet, Tunisia. ⟨hal-03631307⟩

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