PSO Integral-Derivative Stabilizer Design for Improving Damping in Multi-Machine Power System

Stabilizer Design for Improving Damping

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Authors

  • Ghazanfar Shahgholian Najafabad Branch, Islamic Azad University
  • Elham Jabari Najafabad Branch

Keywords:

Particle swarm optimization algorithm, integral-derivative control, power system stabilizer

Abstract

In this paper, the design of the parameters of the integral-derivative power system stabilizer (PDPSS) is presented using particle swarm optimization algorithm (PSO). In this method, the parameters of the power system stabilizers will be optimized; furthermore, this method improves the damping coefficient and system damping. The effect of this method is displayed on a multi-machine power system and compared with genetic algorithm (GA). Simulation results indicate that PSO method was more effective than GA and the damping obtained from PSO method is much better than the damping of the GA. Moreover, through estimating and comparing the damping coefficient of the above two methods, the efficiency of the PSO method will be well presented. In the PSO method, the stability of the poles is felt more as well. Finally, the effectiveness of presented method is illustrated on a larger multi-machine power system.

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Published

2019-11-26

How to Cite

Shahgholian, G., & Jabari, E. (2019). PSO Integral-Derivative Stabilizer Design for Improving Damping in Multi-Machine Power System: Stabilizer Design for Improving Damping. International Journal of Natural and Engineering Sciences, 13(2), 40–48. Retrieved from https://ijnes.org/index.php/ijnes/article/view/544

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