%0 Journal Article
%T Unified power flow controller based on fuzzy neural network<br>基于模糊神经网络的统一潮流控制器(英文)
%A YE Qi-ge
%A WANG Chen-hao
%A WU Jie
%A <br>叶其革
%A 王晨皓
%A 吴捷
%J 控制理论与应用
%D 2005
%I 
%X 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.
%K unified power flow controller(UPFC)
%K self_organizing fuzzy neural networks
%K genetic algorithms
%K electric(current) forecasting<br>统一潮流控制器
%K 自组织模糊神经网络
%K 遗传算法
%K 电流预测
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=F900348B6EC8C21B&yid=2DD7160C83D0ACED&vid=BC12EA701C895178&iid=B31275AF3241DB2D&sid=F08C87DC7855E316&eid=8587C7CAA7A3D0DB&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=0&reference_num=11