Interactive multiobjective passive filter planning with fuzzy parameters in distribution systems using genetic algorithms

被引：21
|
作者：
Hong, YY [1 ]
Huang, WF
机构：
[1] Chung Yuan Christian Univ, Dept Elect Engn, Chungli 320, Taiwan
[2] Ta Tung Co, Tao Yuan 300, Taiwan
来源：
IEEE TRANSACTIONS ON POWER DELIVERY | 2003年 / 18卷 / 03期
关键词：
fuzzy parameters; genetic algorithms; harmonic; multiobjective; passive filter;
D O I：
10.1109/TPWRD.2003.813630
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The power quality in distribution systems becomes deteriorated due to an increase in nonlinear loads. This paper presents a new method, based on interactive multiobjective nonlinear programming (MONLP), using genetic algorithms (GAs) to study passive filter planning. The short-circuit capacity of the point of common coupling (PCC) and the individual bus loads are modeled with the fuzzy sets. The harmonic voltages and the filter cost are minimized while satisfying the harmonic standard and harmonic power plow equations with the harmonic Y-matrix. An 18-bus system is used as a test system for showing the applicability of the proposed method.
引用
收藏
页码：1043 / 1050
页数：8
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