DocumentCode :
1227762
Title :
Interactive multiobjective passive filter planning with fuzzy parameters in distribution systems using genetic algorithms
Author :
Hong, Ying-Yi ; Huang, Wei-Fen
Author_Institution :
Dept. of Electr. Eng., Chung Yuan Christian Univ., Chungli, Taiwan
Volume :
18
Issue :
3
fYear :
2003
fDate :
7/1/2003 12:00:00 AM
Firstpage :
1043
Lastpage :
1050
Abstract :
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 flow equations with the harmonic Y-matrix. An 18-bus system is used as a test system for showing the applicability of the proposed method.
Keywords :
fuzzy set theory; genetic algorithms; load flow; nonlinear programming; passive filters; power harmonic filters; power supply quality; power system harmonics; 18-bus system; distribution systems; filter cost; fuzzy parameters; fuzzy sets; genetic algorithms; harmonic Y-matrix; harmonic power flow equations; harmonic standard; harmonic voltages; individual bus loads; interactive multiobjective nonlinear programming; interactive multiobjective passive filter planning; nonlinear loads; point of common coupling; short-circuit capacity; Fuzzy sets; Fuzzy systems; Genetic algorithms; Load modeling; Passive filters; Power harmonic filters; Power quality; Power system harmonics; Power system modeling; Power system planning;
fLanguage :
English
Journal_Title :
Power Delivery, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8977
Type :
jour
DOI :
10.1109/TPWRD.2003.813630
Filename :
1208396
Link To Document :
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