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Opotimal Allocation Of Harmonic Filters In Distribution Network Based On Improved Adaptive Genetic Algorithm

Posted on:2004-07-02Degree:MasterType:Thesis
Country:ChinaCandidate:X GaoFull Text:PDF
GTID:2132360092481341Subject:Power electronics and electric drive
Abstract/Summary:PDF Full Text Request
Power electronics device plays a main role in the harmonic sources and harmonic distortion has experienced a continuous increase in distribution systems owing to the growing use of it. Hence, how to restrain harmonic distortion has been the one of the most important subjects in the power system and power electronics fields.During the course of harmonic analysis, the first step is to carry out harmonic power flow calculation, which is the tool of further research on restraining harmonic distortion. Utilizing the decoupling of fundamental power flow and harmonic power flow, the result of distribution system harmonic power flow is got in the view of actual project.Facing the present state of only using passive or active power filters in optimal allocation of filter equipment, the model for optimal planning of harmonic filters is presented in this paper. The locations and parameters of active and passive harmonic filters are determined simultaneously to meet the harmonic voltage distortion limits and security constraints with a minimum total investment cost. The improved adaptive genetic algorithm is also proposed in this paper based on ranking selection and direct comparison in genetic operation.Based on this model, the computation program is developed. The results on a sample distribution system are given and compared with that obtained by other means to show that the effectiveness of the proposed model and method is obvious. The results compared with traditional genetic algorithm also demonstrate that the improved adaptive genetic algorithm has not only higher speed and better globe convergence but also more reliable dependability.
Keywords/Search Tags:harmonics passive, active power filters, genetic algorithm, optimal allocation
PDF Full Text Request
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