基于改进遗传算法的多机系统PSS参数协调优化

Parameter optimization for multi-machine power system stabilizers based on IGA

提出了一种基于改进遗传算法的多机系统PSS(电力系统稳定器)参数的协调优化的方法。由励磁系统产生的滞后相位计算出PSS相位补偿环节的时间参数初值,根据这一初值决定优化PSS算法中PSS时间参数的取值范围,从而保证了PSS主要是给系统提供正的阻尼转矩,而对同步转矩影响较小,有利于IGA快速找到最优解。同时对GA的遗传算子进行了改进,提高了IGA的搜索效率。一个NewEngland10机系统的算例表明,利用本算法优化后的PSS能有效、合理地抑制低频振荡。

The method based on Improved Genetic Algorithm （IGA） for coordinated optimization of multi-machine power system stabilizers （PSS） is proposed. According to the lagging phase angles generated by the exciting system, the time parameters＇ initial values of PSS phase compensation segment can be calculated. Based on the initial values, the span of PSS time parameters can be decided for the optimizing PSS by using IGA. The genetic operators are improved to increase the searching efficiency ofIGA. A case of New England 10,machine system indicates that the PSS with the optimized parameters can suppress the low frequency oscillation.