Active power line conditioner with a neural network control

被引:45
作者
Chen, YM
OConnell, RM
机构
[1] Department of Electrical Engineering, University of Missouri-Columbia, Columbia
关键词
active power line conditioners; genetic algorithm; line current harmonics; neural networks;
D O I
10.1109/28.605758
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Harmonics in a power system can lead to communication interference, transformer heating, or solid-state device malfunctions. Active power line conditioners (APLC) are one important way to achieve harmonic reduction, The purpose of this paper is to propose a novel voltage-type APLC, which cancels line current harmonics by injecting a compensation current. The proposed APLC consists of a variable dc voltage source, an inverter, and a neural network controller that is trained with the genetic algorithm and backpropagation. Computer simulations for two load current test cases show that the neural network can provide switch control signals for the proposed APLC to generate compensation currents that reduce line current total harmonic distortions (THD's) significantly.
引用
收藏
页码:1131 / 1136
页数:6
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