Bacterial Foraging Optimized STATCOM for Stability Assessment in Power System
This addresses stability issues in power systems for grid operators, but is incremental as it applies existing optimization methods to a known control problem.
The paper tackles power system stability by optimizing STATCOM's PID controller gains using Particle Swarm Optimization and Bacterial Foraging Optimization, showing improved stability and voltage regulation compared to conventional PID controllers.
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.