控制理论与应用2005，Vol.22Issue(6)：925-930,6.
基于模糊神经网络的统一潮流控制器
Unified power flow controller based on fuzzy neural network
叶其革 1王晨皓 2吴捷1
作者信息
- 1. 华南理工大学,电力学院,广东,广州,510640
- 2. 华南理工大学,电信学院,广东,广州,510640
- 折叠
摘要
Abstract
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.关键词
统一潮流控制器/自组织模糊神经网络/遗传算法/电流预测Key words
unified power flow controller(UPFC)/self-organizing fuzzy neural networks/genetic algorithms/electric current forecasting分类
信息技术与安全科学引用本文复制引用
叶其革,王晨皓,吴捷..基于模糊神经网络的统一潮流控制器[J].控制理论与应用,2005,22(6):925-930,6.
