孙辉

个人信息Personal Information

教授

博士生导师

硕士生导师

性别:女

毕业院校:大连理工大学

学位:博士

所在单位:电气工程学院

学科:电力系统及其自动化

电子邮箱:dutshui@dlut.edu.cn

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An optimized shunt hybrid power quality conditioner based on an adaptive neural network for power quality improvement in power distribution network

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论文类型:会议论文

发表时间:2004-08-19

收录刊物:EI

卷号:3174

页面范围:587-594

摘要:This paper presents an optimized shunt hybrid power quality conditioner (SHPQC) for the compensation of harmonics and reactive power in power distribution network. A novel signal processing technique based on the adaptive neural network algorithm is applied to determine harmonics for generating the reference signals for the current controller of the SHPQC. The conventional hysteresis current controller for the three-phase insulated gate bipolar transistor (IGBT) voltage source inverter (VSI) is replaced by a current regulated space vector pulse width modulated controller. Simulations and experimental results are presented verifying the excellent power quality improvement performance of the proposed topology while keeping the apparent power of the SHPQC minimal. © Springer-Verlag Berlin Heidelberg 2004. All rights reserved.