基于改进BBO算法的水轮发电机组PSS2B参数优化

Parameter Optimization of PSS2B in Hydroelectric Generator Sets Based on Improved BBO Algorithm

为了使电力系统稳定器(PSS)参数能够适应电力系统的多种运行方式,本文提出了一种可用于PSS参数优化的算法。该算法结合差分进化算法(DE)变异操作和自适应迁移操作对生物地理学算法(BBO)进行改进,提高了寻优能力和速度。最后,借助电力系统数字仿真软件对该算法在PSS参数优化方面的有效性进行验证,仿真结果表明:经本文所提优化算法计算的PSS参数能够适应电力系统的不同运行工况。

In order to adapt to various operation conditions,an improved optimization algorithm is proposed to adjust the parameters of power system stabilizer(PSS).This biogeographic algorithm(BBO)combines the mutation operation of differential evolution algorithm(DE)and the adaptive migration operation to improve the optimum speed and ability.Finally,digital simulation software of power system is used to verify the effectiveness of BBO to optimize the parameters of PSS.Simulation results indicate that the optimized parameters of PSS can suppress the low-frequency oscillation in the power grid and can play a good role in different operating conditions.