Performance Comparison of PSO Based State Feedback Gain (K) Controller with LQR-PI and Integral Controller for Automatic Frequency Regulation

TL;DR

This paper introduces a PSO-based state feedback gain controller for frequency regulation in a two-area power system, demonstrating superior performance over traditional LQR-PI and integral controllers.

Contribution

It proposes a novel PSO-based controller for power system frequency regulation and compares its effectiveness with existing control methods.

Findings

PSO-based controller outperforms LQR-PI and integral controllers in frequency response.

The proposed method effectively minimizes frequency deviations during load changes.

Simulation results confirm the superiority of the PSO-based approach.

Abstract

In the present work a new controller called Particle Swarm Optimization based state feedback gain controller has been proposed for frequency regulation of a two area system and then its performance is compared with earlier designed controllers such as Linear Quadratic Regulator Proportional Integral controller and Integral controller. The performance comparison has been done for the power system network comprising of two thermal power plants which are tie line connected. For using the optimal control based method such as LQR PI controller and computationally intelligent method such as PSO based state feedback gain controller, the state space modeling of the system has been done. Transfer function model for the system is used for finding the response of Integral controller. In an effective generation control scheme the change in frequency should be minimum during the load variation. The proposed PSO based state feedback gain controller technique has been found most effective for improving the frequency response.