基于田口原理的遗传算法鲁棒电力系统稳定器设计

S. R. Karnik, A. Raju, M. S. Raviprakasha
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引用次数: 9

摘要

电力系统稳定器用于抑制同步发电机的局部模态振荡。PSS通常设计为提供与负载相关的适当的相引线。因此,PSS参数必须在每个操作条件下进行调整。本文提出了一种基于田口原理的新型鲁棒PSS设计,该设计能够在广泛的工作条件下正常工作,并扩展了机器的负载性。该方法采用田口稳健设计的信噪比概念来表示优化目标,并采用遗传算法对PSS参数进行搜索。仿真结果表明,该稳定器适用于单机-无限母线电力系统在大范围负载条件下的稳定性。
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Genetic Algorithm Based Robust Power System Stabilizer Design Using Taguchi Principle
Power system stabilizer (PSS) is used to damp out local mode oscillations of synchronous generators. PSS are usually designed to provide a proper phase lead which is load dependent. Thus, PSS parameters have to be adjusted at each operating condition. A novel robust PSS design based on Taguchi principle is presented in this paper that can properly function over a wide range of operating conditions and extend the machine loadability. In this approach, signal to noise ratio concept of Taguchi robust design is used to represent the optimization objective and the PSS parameters are searched by genetic algorithm (GA). The simulation results illustrate the effectiveness of the proposed stabilizer as it is applied to the single machine-infinite bus power system under wide range of loading conditions.
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