免疫遗传算法在多机电力系统PSS参数优化中的运用

电力系统稳定器参数的优化对于抑制多机电力系统低频振荡具有非常重要的意义。运用免疫遗传算法对多机系统PSS参数进行优化,将免疫操作融入基本的遗传算法中,运用免疫二次应答原理有效抑制了参数抗体在交叉、变异过程中的退化现象,提高了寻优过程的收敛性和稳定性。算例表明,采用免疫遗传算法对PSS参数优化其收敛性、计算时间和稳定性方面都优于传统遗传算法,将经过参数优化后的PSS加装到系统中,不反可以克服低频振荡现象,而且使系统的稳定性大幅度增强。

Parameter optimization of power system stabilizers using immune genetic algorithm in multi-machine system

Parameter optimization of power system stabilizers is very important to restrain the low-frequency oscillation of multi-machine systems.In this paper,a method called immune genetic algorithm is used to optimize PSS parameters.Immune operators are added in simple genetic algorithm and immune secondary response restrains degeneration phenomenon during crossing and mutation of parameter antibodies,which improves the optimization convergence and stability.The numerical example shows that the algorithm is more effective than the simple genetic algorithm in the characteristic of convergence,solution speed and stability.And the power system with optimized PSS parameters not only can overcome low frequency oscillating phenomenon,and the stability of the system is strengthened by a wide margin.