Multi-Objective Passive Filter Planning with Fuzzy Parameters Using Genetic Algorithms

• Main Authors: Wei-Feng Huang, 黃偉芬
• Other Authors: Ying-Yi Hong
• Format: Others
• Language: zh-TW
• Published: 2001
• Online Access: http://ndltd.ncl.edu.tw/handle/95281252898333577701

碩士 === 中原大學 === 電機工程研究所 === 89 === The power quality in the industry distribution system becomes deteriorated due to harmonic pollution. Many researches have been proposed for investigating the passive filter planning to reduce harmonic voltage distortions. In this thesis, a new method based on the Genetic Algorithms and interactive decision making for multiobjective nonlinear programming problems with fuzzy parameters incorporated with the penalty functions to study the passive filter planning is proposed. The harmonic voltages and the filter cost are minimized while satisfying the harmonic standard and harmonic power plow equations. The uncertainty of the individual loads and the short circuit capacity is considered. An 18-bus system is used as a test system for showing the applicability of the proposed method. The various parameters in Genetic Algorithms and various aspects of the results are also investigated for examining performance of the proposed method. Key words: harmonic, passive filter, Genetic Algorithms, penalty function, interactive decision making, multiobjective NLP.