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

页码：1038 / 1043

页数：6

共 8 条

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[4] Harmonic experiences with a large load-commutated inverter drive
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[5] RANADE SJ, 1998, IEE POWER ENG SOC
[6] SIMPSON PK, 1996, IEEE TECHNOLOGY UPDA, P1
[7] TEY LH, P 2001 IEEE PORT POW
[8] WIDROW B, 1990, P IEEE, V78

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