具有多模型适应性的发电机PSS参数优化方法

The Optimization Method of Generator PSS Parameter with Multi-model Adaption

现代电力系统中应用配置的电力系统稳定器(PSS)模型不尽相同,而传统PSS参数设计方法仅局限于传统PSS模型。文中提出了具有多模型适应性的发电机PSS参数优化方法,以PSS相位补偿效果为优化目标,采用粒子群算法对该发电机的PSS参数进行优化。该方法对多种PSS模型具有高度适应性,不仅适用于传统的PSS模型,也适用于无超前滞后环节的新型PSS模型。算例表明,采用具有多模型适应性的发电机PSS参数优化方法可有效提升系统阻尼,抑制系统低频振荡。

Power System Stabilizer （PSS） models of application configuration are not the same in the modem power systems. However, the design methods of traditional PSS parameter are limited to the traditional PSS model. The optimization method of generator PSS parameter with multi-model adaption is proposed in this paper to achieve the optimization target that the effect of PSS phase compensation is realized. Particle swarm is used to optimize the PSS parameters of the generator. This method is highly adaptable to a variety of PSS models. It is not only applicable to the traditional PSS model, but also to the new PSS model without the lead and lag part. Examples show that the optimization method of generator PSS parameter with multi-model adaption can effectively enhance the system damping and suppress low frequency oscillation.