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Robust Designing of the PSS and SVC Using Genetic Algorithm

机译:使用遗传算法鲁棒设计PSS和SVC

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摘要

In recent years, flexible alternative current transmission systems (FACTS) devices as well as static VAr compensator (SVC) have been used increasingly for dynamic voltage control. Lack of coordination between SVC and power system stabilizer (PSS) parameters can oppose bad effects and generator voltage as well as angular oscillation generator, so simultaneous coordination of stabilizer parameters and SVC is of great interest. In this paper, the problem of stability of a model power system is presented with SVC and PSS block diagrams modeling. Then, the objective function of optimal performance of the model network is to provide stability in various faults. Genetic algorithm (GA) is used to determine the parameters of control systems. Finally, by simulation in MATLAB software, analysis will be reviewed and approved.
机译:近年来,柔性替代电流传输系统(事实)设备以及静态VAR补偿器(SVC)越来越多地用于动态电压控制。 SVC和电力系统稳定器(PSS)参数之间缺乏协调可以反对不良效果和发电机电压以及角度振荡发生器,因此同时协调稳定器参数和SVC非常兴趣。在本文中,SVC和PSS框图建模介绍了模型电力系统的稳定性问题。然后,模型网络的最佳性能的目标函数是在各种故障中提供稳定性。遗传算法(GA)用于确定控制系统的参数。最后,通过在Matlab软件中的仿真,将进行审查和批准分析。

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