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Design of clonal selection algorithm based PSS for damping power system oscillations

机译:基于PSS的克隆选择算法抑制电力系统振荡。

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摘要

Power System Stabilizers (PSS) are incorporated in the excitation system to enhance the damping of low frequency oscillations. In this paper, the design of multiple PSS in a multimachine power system (MMPS) using clonal selection algorithm (CSA) has been proposed. The design problem of the PSS has been formulated as an optimization problem and CSA has been employed to search for optimal controller parameters. It has been shown that the stability performance of the system can be improved by minimizing the eigenvalue based objective function comprising of the damping factor and the damping ratio of the poorly damped electromechanical modes. Eigenvalue analysis and nonlinear simulation results have also been presented for various loading conditions and system configurations to show the effectiveness and robustness of the proposed controllers and their ability to provide efficient damping of low frequency oscillations.
机译:励磁系统中集成了电源系统稳定器(PSS),以增强低频振荡的阻尼。在本文中,提出了使用克隆选择算法(CSA)设计多机电源系统(MMPS)中的多个PSS。 PSS的设计问题已被表述为优化问题,而CSA已被用于搜索最佳控制器参数。已经表明,通过最小化基于特征值的目标函数可以改善系统的稳定性,该目标值包括阻尼系数和弱阻尼机电模式的阻尼比。还针对各种负载条件和系统配置提供了特征值分析和非线性仿真结果,以显示所提出控制器的有效性和鲁棒性,以及它们能够提供有效抑制低频振荡的能力。

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