2012Proceedings of the Chinese Society of Universities for Electric Power System and its AutomationRequires access

Current Mutation Suppression and Intelligent Harmonic Detection System

Lu Yi

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Abstract

For the power quality problem,a design of shunt active power filter system was proposed in the paper.The system uses neural network harmonic detection method to improve the real-time and accuracy of detection;its compensation device uses periodic sampling control,and ease to be applicated;load by adding isolation transformers,to obtain better compensation effect.The proposed method has high precision,low delay,and the benefits of a good compensation effect of active power filter system is more suitable for engineering applications.MATLAB simulation results validate the effectiveness and feasibility of the system.

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What this paper is about

For the power quality problem,a design of shunt active power filter system was proposed in the paper.The system uses neural network harmonic detection method to improve the real-time and accuracy of detection;its compensation device uses periodic sampling control,and ease to be applicated;load by adding isolation transformers,to obtain better compensation effect.The proposed method has high precision,low delay,and the benefits of a good compensation effect of active power filter system is more suitable for engineering applications.MATLAB simulation results validate the effectiveness and feasibility of the system.

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Available abstract

For the power quality problem,a design of shunt active power filter system was proposed in the paper.The system uses neural network harmonic detection method to improve the real-time and accuracy of detection;its compensation device uses periodic sampling control,and ease to be applicated;load by adding isolation transformers,to obtain better compensation effect.The proposed method has high precision,low delay,and the benefits of a good compensation effect of active power filter system is more suitable for engineering applications.MATLAB simulation results validate the effectiveness and feasibility of the system.

Key concepts: Control theory (sociology), MATLAB, Compensation (psychology), Electronic engineering, Computer science, Active filter, Power quality, AC power

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