Neuro Fuzzy based controller for Power Quality Improvement

被引：3

作者：

Pedapenki, Kishore Kumar ^{[1
]}

Gupta, S. P. ^{[1
]}

Pathak, Mukesh Kumar ^{[1
]}

机构：

[1] IIT Roorkee, Dept Elect Engn, Roorkee, Uttar Pradesh, India

来源：

2015 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMMUNICATION NETWORKS (CICN) | 2015年

关键词：

Active Power Filter; Neuro Fuzzy Controller; Back Propagation Algorithm; Soft Computing; COMPENSATION;

D O I：

10.1109/CICN.2015.248

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Use of power electronic converters with nonlinear loads leads to power quality problems by producing harmonic currents and drawing reactive power. A shunt active power filter provides an elegant solution for reactive power compensation as well as harmonic mitigation leading to improvement in power quality. However, the shunt active power filter with PI type of controller is suitable only for a given load. If the load is varied, the proportional and integral gains are required to be fine tuned for each load setting. The present study deals with hybrid artificial intelligence controller, i.e. neuro fuzzy controller for shunt active power filter. The performance of neuro fuzzy controller over PI controller is examined and tabulated. The salvation of the problem is extensively verified with various loads and plotted the worst case out of them for the sustainability of the neuro fuzzy controller.

引用

页码：1294 / 1298

页数：5

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