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OPTIMUM LOCATION OF PSS AND ITS PARAMETERS BY USING PARTICLE SWARM OPTIMIZATION

期刊名字: International Journal of Advanced Research in Engineering and Technology (IJARET) (Vol.10, No. 2)

Publication Date:

论文作者 : ;

起始页码 : 571-584

关键字 : Power System Stabilizer (PSS); Particle Swarm Optimization (PSO); HBMO; GA; Generator model; Excitation system Model; Participation Factor; Delta Omega PSS.;

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论文摘要

This paper deals with stability of interconnected power system using optimum power system stabilizer (PSS) present at generators. Tuning of PSS parameters has been done using particle swarm optimization (PSO) algorithm. This can be achieved by the modal analysis of IEEE 10 machine 39 bus New England system in MatlabSimulink. A comparative analysis of IEEE 10 machine 39 bus system has been carried out for investigating the effectiveness of PSS at all generators and with PSS only at generators which were having modal analysis based higher participation factor. Tuning of PSS is an important issue in wide area control system, hence we can tune only the PSS at optimal locations of generators and tuning time got decreased however system was still stable. Investigation shows that the optimum PSS increases the damping of the electromechanical modes and stabilizes the entire system disturbance.

更新日期: 2020-01-06 13:35:48