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The Application Of SVR In The Field Of Harmonic Measurement

Posted on:2007-09-03Degree:MasterType:Thesis
Country:ChinaCandidate:Y DangFull Text:PDF
GTID:2132360185959273Subject:Power electronics and electric drive
Abstract/Summary:PDF Full Text Request
Some disadvantages of the existing approach for measuring harmonic based on Artificial Neural Network methods are pointed out. The SVR is applied to harmonic measurement in this paper due to its obvious advantage such as good generalization ability ,unique and globally optimal solutions: Using the basic principle of analog parallel harmonics measurement device, some SVR modern for measuring harmonic are built. According to the primary characters of harmonics in power system , the training samples are made based on principle analyzing. Large numbers of simulation results illustrate the presented approach could acquire preferable measure precision.To increase the measure extension and measure precision, the existing approach for reducing training samples is used in building the SVR moderns: At first, the harmonic phase is determined, then the appropriate SVR moderns to be used for measuring the harmonic amplitude. Simulation illustrates the effectiveness of this method.In addition, an integrated measuring harmonic program is completed in MATLAB based on above methods and the BP Network is built also. Large numbers of simulation data are used to test the program. Simulation illustrates the capability of tolerating noise and robustness characteristics of this method.
Keywords/Search Tags:Harmonic Measurement, Support Vector Machines, Support Vector, Regression, Neural Network
PDF Full Text Request
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