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首页> 外文期刊>Universal Journal of Control and Automation >Reduced Order Model of Single Machine Infinite Bus Power System Using Stability Equation Method and Self-adaptive Bat Algorithm
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Reduced Order Model of Single Machine Infinite Bus Power System Using Stability Equation Method and Self-adaptive Bat Algorithm

机译:基于稳定方程法和自适应蝙蝠算法的单机无限母电力系统降阶模型

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摘要

In this paper, a large–order system is reduced by using the self adaptive bat algorithm (SABA) to a reduced-order approximation. The numerator coefficients of a desired reduced-order system are optimized based on integral square error minimization as an objective function pertaining to a unit-step as input. The denominator of the reduced order model is solved by stability equation method. The efficacy of the proposed method is tested with SMIB test systems to get a corresponding reduced-order system. The results are satisfactory in terms of minimum error with the proposed method as compared to Routh approximation and Stability equation based reduced models.
机译:在本文中,通过使用自适应蝙蝠算法(SABA)将大系统还原为降阶近似值。基于积分平方误差最小化作为与输入的单位步长有关的目标函数,优化了所需降阶系统的分子系数。降阶模型的分母通过稳定性方程法求解。通过SMIB测试系统测试了该方法的有效性,从而获得了相应的降阶系统。与基于Routh逼近和基于稳定性方程的简化模型相比,所提方法的最小误差结果令人满意。

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