A Honey Bee Mating Optimization (HBMO) technique is used to tune the Power System Stabilizer (PSS) parameters and find optimal location of PSSs in this paper. The PSS parameters and placement are computed to assure maximum damping performance under different operating conditions. 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 two case studies as; 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) and 10 machine 39 bus New England power system in comparison with Tabu Search (TS) through FD, ITAE and performance indices under different operating 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.
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