Bacterial Foraging Optimized STATCOM for Stability Assessment in Power System

TL;DR

This paper explores the use of bacterial foraging optimization to tune a STATCOM's PID controller for improved stability and voltage regulation in power systems, comparing it with particle swarm optimization and conventional methods.

Contribution

It introduces bacterial foraging optimization as a novel heuristic for PID gain tuning in STATCOM, enhancing power system stability and voltage regulation.

Findings

BFO-tuned STATCOM outperforms PSO-tuned and conventional PID controllers.

The proposed method improves system stability under various scenarios.

Simulation results confirm robustness and effectiveness of the BFO approach.

Abstract

This paper presents a study of improvement in stability in a single machine connected to infinite bus (SMIB) power system by using static compensator (STATCOM). The gains of Proportional-Integral-Derivative (PID) controller in STATCOM are being optimized by heuristic technique based on Particle swarm optimization (PSO). Further, Bacterial Foraging Optimization (BFO) as an alternative heuristic method is also applied to select optimal gains of PID controller. The performance of STATCOM with the above soft-computing techniques are studied and compared with the conventional PID controller under various scenarios. The simulation results are accompanied with performance indices based quantitative analysis. The analysis clearly signifies the robustness of the new scheme in terms of stability and voltage regulation when compared with conventional PID.