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Research On Hybrid Active Power Filter Parameter Optimization

Posted on:2016-06-10Degree:MasterType:Thesis
Country:ChinaCandidate:Y ZhaoFull Text:PDF
GTID:2322330470473292Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
With the nonlinear power electronics widely used in the power system, harmonic pollution become more severe than before, harmonic pollution reduces the power factor of the power system, impair power supply quality and operation safety. Considering the reality of harmonic pollution and low power factor of the power system, power filter is an effective measure to compensate harmonics current.comparing with the PF sets, APF has the higher controllability and faster response,because the cost of APF is high, hybrid active power filter is widely used in high voltage system.Firstly,based on the analysis of domestic and foreign research and development status of the harmonic filter means.And compare the harmonic detection and control strategies of series resonance injection type hybrid active filter.The current situation of hybid active power filter at home and abroad is analyzed at the first beginning of this thesis, the major circuit topology and the basic operating principle is introduced, Moreover, major parameters of the elements are caculated and selected, approach based on theory of instantaneous reactive power is introduced in details.Secondly,due to the inadequate design of existing hybrid active power filter, optimization algorithm is proposed based on genetic algorithm. The algorithm has a strong global optimization capability. Paper based on genetic algorithm fundamental resonance hybrid active power filter optimized design parameters to calculate the various parts of the filter.Finally,using Simulink software module of Matlab to simulate the series resonant injection type hybrid active filter,and the results show that the filter designed using genetic algorithms has good ability of harmonic governance and reactive power compensation.
Keywords/Search Tags:hybrid active power filter, genetic algorithms, multi-objective optimization, parameters design
PDF Full Text Request
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