Active Power Filter of Three-phase Based on Neural Network

被引:0
|
作者
Dai, Wenjin [1 ]
Wang, Yu [1 ]
机构
[1] Nanchang Univ, Dept Informat Engn, Nanchang, Jiangxi, Peoples R China
关键词
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中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents a novel control design of shunt active power filter to compensate reactive power and reduce the unwanted harmonics. A shunt active filter is realized employing three-phase voltage source inverter (VSI) and a control circuit. The shunt active filter acts as a current source, which is connected in parallel with a nonlinear load and controlled to generate the required compensation currents. The control circuit using neural network controller is proposed. One adaptive neural network (ANN) controller is designed to estimate the harmonic components of the distorted load current and supply voltage [1]. A power factor correction function is incorporated in the shunt active filter to achieve a power factor that is near to unity. The different cases are considered and then simulated in order to show validity of the active power filter with neural network control.
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页码:124 / 128
页数:5
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