Investigation of Particle Swarm Optimization Based Power System Stabilizer on Damping Performance in Two Area System with Voltage Dependent Load Models

International Journal of Electrical and Electronics Engineering

© 2025 by SSRG - IJEEE Journal

Volume 12 Issue 1

Year of Publication : 2025

Authors : Ghousul Azam Shaik, Lakshmi Devi Aithepalli

10.14445/23488379/IJEEE-V12I1P107

How to Cite?

Ghousul Azam Shaik, Lakshmi Devi Aithepalli, "Investigation of Particle Swarm Optimization Based Power System Stabilizer on Damping Performance in Two Area System with Voltage Dependent Load Models," SSRG International Journal of Electrical and Electronics Engineering, vol. 12,  no. 1, pp. 63-75, 2025. Crossref, https://doi.org/10.14445/23488379/IJEEE-V12I1P107

Abstract:

This manuscript covers the impact of Particle Swarm Optimization (PSO) based Power System Stabilizer (PSS) on the damping performance in a two-area system with different voltage-dependent load models, including large-scale electric vehicle loads. In the first part of the design, the location of PSS was fixed by the procedure outlined in the manuscript and the later part of the design, PSO-PSS was proposed to tune the gain and time constant of the stabilizer by taking appropriate fitness function in Kundur two area four machine system. The PSO-based PSS designed for constant power type of load in the above system was placed at appropriate locations for other voltage-dependent load models. A comparison of damping ratios of inter-area mode was made with and without the stabilizer, and it was observed that the damping ratio of all inter-area modes with PSS was obtained by more than 3%. The results demonstrate that for both non-contingency and contingency of tie line in the above system, the PSO-based PSS designed for constant power type of load improved not only the damping ratio of inter-area mode but also increased the damping ratios of the other swing modes, including large scale electric vehicle loading case.

Keywords:

Inter-area mode, Linearization, Load modelling, Particle Swarm Optimization, Root locus.

References:

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