基于NSGA-Ⅱ算法的PSS多目标优化设计

摘要:

电力系统稳定器( PSS) 能够很好地抑制电力系统低频振荡，其参数的整定尤为重要。一般处理方法是将系统 状态矩阵特征值实部和阻尼比分别加权转换成单目标问题，进而用优化算法对 PSS 控制器参数进行优化，而权重的 选取对参数影响极大。以特征值实部和阻尼比作为两个目标，用 NSGA － Ⅱ多目标进化算法优化处理，最后与传统的 遗传算法相比较。仿真结果表明，采用 NSGA － Ⅱ算法设计的 PSS 控制器，可以有效地阻尼电力系统低频振荡。

Abstract:

Power system stabilizer ( PSS) can inhibit the low － frequency oscillation well and the selection of its parameters is particularly important． Generally，both the real part and damping ratio of the eigenvalue of the system state matrix are weighted and then it is transformed into a single objective problem to design the controller parameters of PSS using optimization algorithm，but the parameters are influenced greatly by the selection of the weight． The real part and damping ratio of the eigenvalue are considered as two objectives to optimize the parameters using NSGA － II multi － objective evolutionary algorithm． Comparing with the traditional methods，the simulation results show that the PSS controller designed by NSGA － II algorithm can damp the low － frequency oscillation of power system effectively．