基于模糊神经网络的统一潮流控制器

为了减少先验知识对统一潮流控制器中模糊规则的设计和电力系统参数的变化对统一潮流控制器性能的影响,文中采用模糊神经网络来设计统一潮流控制器.为此首先简单介绍了统一潮流控制器的控制策略,然后阐述了自组织模糊神经网络和基于遗传算法的模糊神经网络的构造方法,接着将自组织模糊神经网络、基于遗传算法的模糊神经网络结合统一潮流控制器的控制策略应用于两种统一潮流控制器.最后通过MATLAB仿真例子来验证:这两种统一潮流控制器的设计方法的有效性.

Unified power flow controller based on fuzzy neural network

In order to allay the influence of both the experience in the design of the fuzzy rule of unified power flow controller(CPFC) and the UPFC performance with respect to the power system parameter variations,fuzzy neural networks are applied to UPFC in this paper.First,the control strategy of UPFC is briefly introduced.Second,the constructions of self_organizing fzzy neural network and fuzzy neural network based on genetic algorithms are presented.Third,the self_organizing fuzzy neural network,the fuzzy neural network based on genetic algorithms and the control strategy of UPFC are used to design two kind of UPFC.Finally,the simulating examples,done on MATLAB,are adopted to demonstrate that the proposed approaches of these UPFC will be effective.