Design of SSSC-Based Damping Controller: - A Hybrid PSO-GSA Algorithm Approach

This research aims to illustrate a practical approach to scheduling an SSSC damping controller installed in a SMIB power system. Power systems have long employed damping controllers to lessen low-frequency oscillation. This challenge is thought of as an optimization problem. The conventional GSA and the PSO algorithm's exploration and exploitation features are combined to create a hybrid approach that can be used to modify the controller parameters. According to the results of the simulation, the hybrid approach that has been proposed is the most efficient way to define the damping controller.

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Publication Details

Published
2024-11-28
DOI
https://doi.org/10.1109/icspe62629.2024.10924327
Primary Topic
Vehicle Dynamics and Control Systems
Type
article
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article

Design of SSSC-Based Damping Controller: - A Hybrid PSO-GSA Algorithm Approach

Sidhartha Panda, Sushree Diptimayee Swain, Pushpanjali Shadangi, Rajendra Kumar Khadanga
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Vehicle Dynamics and Control Systems
article

Design of SSSC-Based Damping Controller: - A Hybrid PSO-GSA Algorithm Approach

Sidhartha Panda, Sushree Diptimayee Swain, Pushpanjali Shadangi, Rajendra Kumar Khadanga
article en

Abstract

This research aims to illustrate a practical approach to scheduling an SSSC damping controller installed in a SMIB power system. Power systems have long employed damping controllers to lessen low-frequency oscillation. This challenge is thought of as an optimization problem. The conventional GSA and the PSO algorithm's exploration and exploitation features are combined to create a hybrid approach that can be used to modify the controller parameters. According to the results of the simulation, the hybrid approach that has been proposed is the most efficient way to define the damping controller.

Veer Surendra Sai University of Technology (IN), Bastar University (IN), Centurion University of Technology and Management (IN)
Affordable and clean energy
Openalex Percentile: Top 69%
Vehicle Dynamics and Control Systems
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