基于变学习速率神经网络的滑模智能PSS的设计

Design for intelligent sliding mode PSS based on neural network of changing learning rate

以电力系统的非线性模型为基础,依据滑模变结构控制理论和神经网络的知识,提出了一种多机电力系统神经网络滑模变结构PSS的设计方法。计算机仿真研究表明,神经网络滑模变结构PSS不仅可以有效地改善系统的动态特性,而且能够在较宽运行范围内为系统提供良好的阻尼,提高了电力系统的稳定性。

Basing on the non-linear model in electric power system, the design method of neural network sliding mode construction-varying of power system stabilizer (PSS) suitable for controlling multi-units at the same time is presented in the paper, depending on sliding mode control theory and intelligent neural network knowledge. It is shown that the PSS described below not only can improve the dynamic performance, but also provide excellent damping to increase the stability of electric power system to wider operation extent by simulating study with computer.