Optimal Placement and Tuning of Robust Multimachine PSS via HBMO

This paper introduces an optimal placement and tuning of robust multi-machine Power System Stabilizer (PSS) using Honey Bee Mating Optimization (HBMO). This problem is formulated as an optimization problem, which is solved using HBMO technique. Hence the proposed approach employs HBMO to search for optimal location and parameters settings of a widely used Conventional fixed-structure lead-lag PSS (CPSS). One of the main advantages of the proposed approach is its robustness to the initial parameter settings. The effectiveness of the proposed method is demonstrated on the two-area four-machine (TAFM) system of Kundur in comparison with the Strength Pareto Evolutionary Algorithm (SPEA), Genetic Algorithm (GA) and Quantitative Feedback Theory (QFT) based tuned PSS under different loading condition. The proposed method of tuning the PSS is an attractive alternative to conventional fixed gain stabilizer design as it retains the simplicity of the conventional PSS and at the same time guarantees a robust acceptable performance over a wide range of operating and system condition.