Unified power flow controller based on fuzzy neural network
YE Qi-ge
WANG Chen-hao
WU Jie
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.
Keywords：unified power flow controller(UPFC)self-organizing fuzzy neural networksgenetic algorithmselectric current forecasting
Publication Date：2005-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 925-930 )