Optimizing Dynamic Stability in Power Systems: A Robust Approach with FOPID Controller Tuning Using HHO Algorithm

Yogesh Kalidas Kirange; Pragya Nema

doi:10.46604/peti.2024.13455

Authors

Yogesh Kalidas Kirange Department of Electrical and Electronics Engineering, Oriental University, Indore, India
Pragya Nema Department of Electrical and Electronics Engineering, Oriental University, Indore, India https://orcid.org/0000-0002-3676-6441

DOI:

https://doi.org/10.46604/peti.2024.13455

Keywords:

FOPID controller, fractional order control, Harris hawks optimization, SMIB model

Abstract

This study investigates the stability improvement in power systems by using fractional order proportional-integral-derivative (FOPID) controllers that have been improved with the Harris hawks optimization (HHO) algorithm. It showcases a novel integration of fractional order control and nature-inspired optimization approaches in single-machine infinite bus (SMIB) systems. Introducing FOPID controllers allows for precise control, which is essential for maintaining stability under varying conditions. This research utilizes HHO, a nature-inspired optimization technique, to optimize FOPID parameters. The research involves initializing the SMIB model, defining an objective function to minimize control errors, and applying HHO to fine-tune the FOPID controller iteratively. This proposed HHO-FOPID-SMIB method surpasses existing strategies, achieving a notable reduction in settling time to 6.29 seconds, thus demonstrating efficiency in stabilizing the SMIB system’s response faster than competing methodologies. Simulation results demonstrate improved stability, reduced overshoot, faster settling time, and transient response.

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