Neural network-controlled unified power quality conditioner for system harmonics compensation

被引：0
|
作者：
Tey, LH [1 ]
So, PL [1 ]
Chu, YC [1 ]
机构：
[1] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore
来源：
IEEE/PES TRANSMISSION AND DISTRIBUTION CONFERENCE AND EXHIBITION 2002: ASIA PACIFIC, VOLS 1-3, CONFERENCE PROCEEDINGS: NEW WAVE OF T&D TECHNOLOGY FROM ASIA PACIFIC | 2002年
关键词：
neural network; UPQC; harmonics compensation; power quality;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
This paper presents the design of Artificial Neural Network (ANN) - controlled unified power quality conditioner (UPQC) for harmonies compensation in a low-voltage ac system. Simple time-domain extraction technique is used to determine the harmonic components present in the load current and source voltage. The topology is based on two 3-phase pulse width modulated (PWM) voltage source inverters (VSIs). The control of these inverters is carried out using Levenberg-Marquardt backpropagation (LMBP) ANN techniques. The simulation results show that the ANN-controlled UPQC can significantly reduce harmonic distortion in the supply system.
引用
收藏
页码：1038 / 1043
页数：6
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