摘要
提出了一种综合智能化的控制系统设计思想 ,并将其应用在发电机的励磁控制上 ,所设计的综合智能型电力系统稳定器兼顾对发电机端电压动态调节特性和功角稳定的要求 ,具有良好的控制效果。控制器采用模糊神经元网络的结构形式 ,而遗传算法和再励学习与设计过程的有机结合使控制器具有更高的智能化水平 ,较好的控制效果和简便合理的设计过程 ,在理论和实践两方面都具有应用潜力。
An integrated intelligent method of control system design is presented. Based on this method an integrated intelligent power system stabilizer which can meet the need for both power angle stability and terminal voltage dynamic characteristics of generator has been developed, and good control results are obtained. The architecture of fuzzy neural network is applied to the main part of the controller. On the basis of organic integration of improved genetic algorithm with fuzzy-based reinforcement learning and designing, the controller is of higher intelligent level, favorable control performance, and the design process of the controller will be easy and reasonable.
出处
《电网技术》
EI
CSCD
北大核心
2000年第9期14-17,共4页
Power System Technology
关键词
电力系统稳定器
智能控制
控制理论
遗传算法
fuzzy neural networks
genetic algorithm
reinforcement learning
power system stabilizer
