基于免疫算法的电力系统稳定器设计

S. Kyanzadeh, M. M. Farsangi, H. Nezamabadi-pour, Kwang Y. Lee
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引用次数: 22

摘要

本文研究了免疫算法在电力系统稳定器设计中的抑制电力系统区域间振荡的能力。为此,采用基于相位的目标函数来确定PSS的参数。在一个2区4机系统上给出了数值结果,说明了所提方法的可行性。为了证明所设计的pss的有效性,应用了一个三相故障。仿真研究表明,所设计的pss提高了系统的稳定性。此外,为了验证IA得到的结果,采用了一种简单的遗传算法(GA)进行比较。
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Design of Power System Stabilizer Using Immune Algorithm
This paper investigates the ability of immune algorithm (IA) in designing power system stabilizer (PSS) to damp the power system inter-area oscillation. For this the parameters of the PSS are determined by IA using a phase-based objective function. The numerical results are presented on a 2- area 4-machine system to illustrate the feasibility of the proposed method. To show the effectiveness of the designed PSSs, a three phase fault is applied. The simulation study shows that the designed PSSs improve the stability of the system. Also, to validate the results obtained by IA, a simple genetic algorithm (GA) is applied for comparison.
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